Answer questions Minimum 100 words each and reference (questions #1-2) KEEP questions WITH ANSWER
1. A key point to get out of this topic is the idea that these errors are theoretical. You won't be sure as to whether one occurred or not. Why are they theoretical in nature? Hint: think about a study and knowing the "truth"
2. Pick a study of interest and identify the null and alternative hypothesis. How does this fit in with regards to the topic of a type I and type II error? Always keep this in mind when you are trying to identify what a type I and type II error are.
A minimum of 75 words each question and References (IF NEEDED)(Response #1 – 7) KEEP RESPONSE WITH ANSWER
Make sure the Responses includes the Following: (a) an understanding of the weekly content as supported by a scholarly resource, (b) the provision of a probing question. (c) stay on topic
1) According to the reading, we set the alpha which is the largest probability for type I error. To increase the power of a hypothesis researchers can use larger samples which provides more information and raise the significance level which increases the probability that the hypothesis will be rejected.
2) A Type 1 error occurs when individuals involved in research make the decision to reject the belief of truth when in actuality the hypothesis is true. Type 1 errors are errors in research when the researcher makes the wrong decision to reject a true null hypothesis. Type II errors are considered less of a problem than Type 1 errors, but can prove to be detrimental in the field of medicine. This type of error occurs when researchers decide to keep a false null hypothesis, when in fact the hypothesis is true. The method to avoid making Type 1 decisions is to test the null hypothesis at the highest level (Alpha Level). This will lessen the possibilities of making this type of error (Privitera, 2018).
3) According to Privitera (2018) a type 1 error is the probability of rejecting a null hypotheses that is actually true, researchers purposely make this error. A null hypotheses is a statement about a population parameter that is assumed to be true, this hypotheses is a starting point (Privitera, 2018). The type 2 error or beta error is the probability of retaining a null hypotheses that is actually false (Privitera, 2018). The type 1 error is committed when a researcher decides to reject previous notions of truth that are in fact true (Privitera, 2018). The best way to avoid these types of errors is to be open minded and not reject notions if there is fact to back the notions up. In my opinion a type 1 error is something committed with bias by the researcher. I say this because as a researcher it is their job to find all facts or at least most all facts and apply them to their study or research, especially if they commit a type one error knowingly. If a researcher does this error then they are not following through with basic research guidelines.
4) A one-tailed test is used in a hypothesi.
This document provides an outline and overview of Chapter 9 from a statistics textbook. The chapter covers hypothesis testing for single populations, including:
- Establishing null and alternative hypotheses
- Understanding Type I and Type II errors
- Testing hypotheses about single population means when the standard deviation is known or unknown
- Testing hypotheses about single population proportions and variances
- Solving for Type II errors
The chapter teaches students how to implement the HTAB (Hypothesis, Test Statistic, Accept/Reject regions, Boundaries, Conclusion) system to scientifically test hypotheses using statistical techniques like z-tests and t-tests. Key concepts covered include one-tailed and two-tailed tests, critical values, p
pratik meshram-Unit 4 contemporary marketing research full notes pune univers...Pratik Meshram
Unit 4 discusses data analysis and hypothesis testing. It covers topics such as data analysis, hypothesis, conjoint analysis, and factor analysis. Data analysis involves collecting, processing, analyzing, and interpreting data. A hypothesis is a proposition that can be tested. The key steps in hypothesis testing are to formulate hypotheses, select a significance level, choose a test criterion, and make a decision to accept or reject the null hypothesis. Common hypothesis tests include z-tests, t-tests, F-tests, chi-square tests, and ANOVA.
This document discusses data analysis and hypothesis testing. It covers:
1. The importance of properly analyzing collected data, including preparing analysis tables and frameworks before data collection.
2. The meaning and definition of a hypothesis, including the concept of a null hypothesis.
3. The key steps in hypothesis testing: formulating hypotheses, selecting a significance level, choosing a test criterion, and making a decision.
4. Types of errors in hypothesis testing, including Type I and Type II errors.
5. Examples of common parametric tests like z-tests, t-tests, and F-tests, which assume parameters exist about the population.
6. The concept of non-parametric
The document discusses hypothesis testing and the scientific research process. It begins by defining a hypothesis as a tentative statement about the relationship between two or more variables that can be tested. It then outlines the typical steps in the scientific research process, which includes forming a question, background research, creating a hypothesis, experiment design, data collection, analysis, conclusions, and communicating results. Finally, it provides details on characteristics of a strong hypothesis, the process of hypothesis testing through statistical analysis, and setting up an experiment for hypothesis testing, including defining hypotheses, significance levels, sample size determination, and calculating standard deviation.
Hypothesis Testing Definitions A statistical hypothesi.docxwilcockiris
Hypothesis Testing
Definitions:
A statistical hypothesis is a guess about a population parameter. The guess may or not be
true.
The null hypothesis, written H0, is a statistical hypothesis that states that there is no
difference between a parameter and a specific value, or that there is no difference between
two parameters.
The alternative hypothesis, written H1 or HA, is a statistical hypothesis that specifies a
specific difference between a parameter and a specific value, or that there is a difference
between two parameters.
Example 1:
A medical researcher is interested in finding out whether a new medication will have
undesirable side effects. She is particularly concerned with the pulse rate of patients who
take the medication. The research question is, will the pulse rate increase, decrease, or
remain the same after a patient takes the medication?
Since the researcher knows that the mean pulse rate for the population under study is 82
beats per minute, the hypotheses for this study are:
H0: µ = 82
HA: µ ≠ 82
The null hypothesis specifies that the mean will remain unchanged and the alternative
hypothesis states that it will be different. This test is called a two-tailed test since the
possible side effects could be to raise or lower the pulse rate. Notice that this is a non
directional hypothesis. The rejection region lies in both tails. We divide the alpha in two
and place half in each tail.
Example 2:
An entrepreneur invents an additive to increase the life of an automobile battery. If the
mean lifetime of the automobile battery is 36 months, then his hypotheses are:
H0: µ ≤ 36
HA: µ > 36
Here, the entrepreneur is only interested in increasing the lifetime of the batteries, so his
alternative hypothesis is that the mean is greater than 36 months. The null hypothesis is
that the mean is less than or equal to 36 months. This test is one-tailed since the interest
is only in an increased lifetime. Notice that the direction of the inequality in the alternate
hypothesis points to the right, same as the area of the curve that forms the rejection
region.
Example 3:
A landlord who wants to lower heating bills in a large apartment complex is considering
using a new type of insulation. If the current average of the monthly heating bills is $78,
his hypotheses about heating costs with the new insulation are:
H0: µ ≥ 78
HA: µ < 78
This test is also a one-tailed test since the landlord is interested only in lowering heating
costs. Notice that the direction of the inequality in the alternate hypothesis points to the
left, same as the area of the curve that forms the rejection region.
Study Design:
After stating the hypotheses, the researcher’s next step is to design the study. In designing
the study, the researcher selects an appropriate statistical test, chooses a level of
significance, and formulates a plan for conducting the study..
1) The document discusses statistical significance and hypothesis testing. It explains that statistical significance is used to determine the probability that a observed relationship is due to chance rather than a true relationship between variables.
2) It outlines the steps in testing for statistical significance which include stating the research and null hypotheses, selecting an alpha level, selecting and computing a statistical test, and interpreting the results.
3) An example is provided of using the Chi Square test to analyze the relationship between type of training program and job placement success, and interpreting the results of the Chi Square test based on the alpha level and degrees of freedom.
Statistics is used to interpret data and draw conclusions about populations based on sample data. Hypothesis testing involves evaluating two statements (the null and alternative hypotheses) about a population using sample data. A hypothesis test determines which statement is best supported.
The key steps in hypothesis testing are to formulate the hypotheses, select an appropriate statistical test, choose a significance level, collect and analyze sample data to calculate a test statistic, determine the probability or critical value associated with the test statistic, and make a decision to reject or fail to reject the null hypothesis based on comparing the probability or test statistic to the significance level and critical value.
An example tests whether the proportion of internet users who shop online is greater than 40% using
Introduction-to-Hypothesis-Testing Explained in detailShriramKargaonkar
This document provides an introduction to hypothesis testing, covering key concepts such as:
- The null and alternative hypotheses, which represent the proposed claim versus the default position.
- Type I and Type II errors in hypothesis testing and balancing the risks.
- The level of significance and p-value in determining if the null hypothesis can be rejected.
- Choosing between one-tailed and two-tailed tests based on directional predictions.
- Comparing test statistics to sampling distributions to evaluate the null hypothesis.
- Assumptions that must be met, such as normality and independence, for valid hypothesis testing.
This document provides an outline and overview of Chapter 9 from a statistics textbook. The chapter covers hypothesis testing for single populations, including:
- Establishing null and alternative hypotheses
- Understanding Type I and Type II errors
- Testing hypotheses about single population means when the standard deviation is known or unknown
- Testing hypotheses about single population proportions and variances
- Solving for Type II errors
The chapter teaches students how to implement the HTAB (Hypothesis, Test Statistic, Accept/Reject regions, Boundaries, Conclusion) system to scientifically test hypotheses using statistical techniques like z-tests and t-tests. Key concepts covered include one-tailed and two-tailed tests, critical values, p
pratik meshram-Unit 4 contemporary marketing research full notes pune univers...Pratik Meshram
Unit 4 discusses data analysis and hypothesis testing. It covers topics such as data analysis, hypothesis, conjoint analysis, and factor analysis. Data analysis involves collecting, processing, analyzing, and interpreting data. A hypothesis is a proposition that can be tested. The key steps in hypothesis testing are to formulate hypotheses, select a significance level, choose a test criterion, and make a decision to accept or reject the null hypothesis. Common hypothesis tests include z-tests, t-tests, F-tests, chi-square tests, and ANOVA.
This document discusses data analysis and hypothesis testing. It covers:
1. The importance of properly analyzing collected data, including preparing analysis tables and frameworks before data collection.
2. The meaning and definition of a hypothesis, including the concept of a null hypothesis.
3. The key steps in hypothesis testing: formulating hypotheses, selecting a significance level, choosing a test criterion, and making a decision.
4. Types of errors in hypothesis testing, including Type I and Type II errors.
5. Examples of common parametric tests like z-tests, t-tests, and F-tests, which assume parameters exist about the population.
6. The concept of non-parametric
The document discusses hypothesis testing and the scientific research process. It begins by defining a hypothesis as a tentative statement about the relationship between two or more variables that can be tested. It then outlines the typical steps in the scientific research process, which includes forming a question, background research, creating a hypothesis, experiment design, data collection, analysis, conclusions, and communicating results. Finally, it provides details on characteristics of a strong hypothesis, the process of hypothesis testing through statistical analysis, and setting up an experiment for hypothesis testing, including defining hypotheses, significance levels, sample size determination, and calculating standard deviation.
Hypothesis Testing Definitions A statistical hypothesi.docxwilcockiris
Hypothesis Testing
Definitions:
A statistical hypothesis is a guess about a population parameter. The guess may or not be
true.
The null hypothesis, written H0, is a statistical hypothesis that states that there is no
difference between a parameter and a specific value, or that there is no difference between
two parameters.
The alternative hypothesis, written H1 or HA, is a statistical hypothesis that specifies a
specific difference between a parameter and a specific value, or that there is a difference
between two parameters.
Example 1:
A medical researcher is interested in finding out whether a new medication will have
undesirable side effects. She is particularly concerned with the pulse rate of patients who
take the medication. The research question is, will the pulse rate increase, decrease, or
remain the same after a patient takes the medication?
Since the researcher knows that the mean pulse rate for the population under study is 82
beats per minute, the hypotheses for this study are:
H0: µ = 82
HA: µ ≠ 82
The null hypothesis specifies that the mean will remain unchanged and the alternative
hypothesis states that it will be different. This test is called a two-tailed test since the
possible side effects could be to raise or lower the pulse rate. Notice that this is a non
directional hypothesis. The rejection region lies in both tails. We divide the alpha in two
and place half in each tail.
Example 2:
An entrepreneur invents an additive to increase the life of an automobile battery. If the
mean lifetime of the automobile battery is 36 months, then his hypotheses are:
H0: µ ≤ 36
HA: µ > 36
Here, the entrepreneur is only interested in increasing the lifetime of the batteries, so his
alternative hypothesis is that the mean is greater than 36 months. The null hypothesis is
that the mean is less than or equal to 36 months. This test is one-tailed since the interest
is only in an increased lifetime. Notice that the direction of the inequality in the alternate
hypothesis points to the right, same as the area of the curve that forms the rejection
region.
Example 3:
A landlord who wants to lower heating bills in a large apartment complex is considering
using a new type of insulation. If the current average of the monthly heating bills is $78,
his hypotheses about heating costs with the new insulation are:
H0: µ ≥ 78
HA: µ < 78
This test is also a one-tailed test since the landlord is interested only in lowering heating
costs. Notice that the direction of the inequality in the alternate hypothesis points to the
left, same as the area of the curve that forms the rejection region.
Study Design:
After stating the hypotheses, the researcher’s next step is to design the study. In designing
the study, the researcher selects an appropriate statistical test, chooses a level of
significance, and formulates a plan for conducting the study..
1) The document discusses statistical significance and hypothesis testing. It explains that statistical significance is used to determine the probability that a observed relationship is due to chance rather than a true relationship between variables.
2) It outlines the steps in testing for statistical significance which include stating the research and null hypotheses, selecting an alpha level, selecting and computing a statistical test, and interpreting the results.
3) An example is provided of using the Chi Square test to analyze the relationship between type of training program and job placement success, and interpreting the results of the Chi Square test based on the alpha level and degrees of freedom.
Statistics is used to interpret data and draw conclusions about populations based on sample data. Hypothesis testing involves evaluating two statements (the null and alternative hypotheses) about a population using sample data. A hypothesis test determines which statement is best supported.
The key steps in hypothesis testing are to formulate the hypotheses, select an appropriate statistical test, choose a significance level, collect and analyze sample data to calculate a test statistic, determine the probability or critical value associated with the test statistic, and make a decision to reject or fail to reject the null hypothesis based on comparing the probability or test statistic to the significance level and critical value.
An example tests whether the proportion of internet users who shop online is greater than 40% using
Introduction-to-Hypothesis-Testing Explained in detailShriramKargaonkar
This document provides an introduction to hypothesis testing, covering key concepts such as:
- The null and alternative hypotheses, which represent the proposed claim versus the default position.
- Type I and Type II errors in hypothesis testing and balancing the risks.
- The level of significance and p-value in determining if the null hypothesis can be rejected.
- Choosing between one-tailed and two-tailed tests based on directional predictions.
- Comparing test statistics to sampling distributions to evaluate the null hypothesis.
- Assumptions that must be met, such as normality and independence, for valid hypothesis testing.
Hypothesis TestingThe Right HypothesisIn business, or an.docxadampcarr67227
Hypothesis Testing
The Right Hypothesis
In business, or any other discipline, once the question has been asked there must be a statement as to what will or will not occur through testing, measurement, and investigation. This process is known as formulating the right hypothesis. Broadly defined a hypothesis is a statement that the conditions under which something is being measured or evaluated holds true or does not hold true. Further, a business hypothesis is an assumption that is to be tested through market research, data mining, experimental designs, quantitative, and qualitative research endeavors. A hypothesis gives the businessperson a path to follow and specific things to look for along the road.
If the research and statistical data analysis supports and proves the hypothesis that becomes a project well done. If, however, the research data proved a modified version of the hypothesis then re-evaluation for continuation must take place. However, if the research data disproves the hypothesis then the project is usually abandoned.
Hypotheses come in two forms: the null hypothesis and the alternate hypothesis. As a student of applied business statistics you can pick up any number of business statistics textbooks and find a number of opinions on which type of hypothesis should be used in the business world. For the most part, however, and the safest, the better hypothesis to formulate on the basis of the research question asked is what is called the null hypothesis. A null hypothesis states that the research measurement data gathered will not support a difference, relationship, or effect between or amongst those variables being investigated. To the seasoned research investigator having to accept a statement that no differences, relationships, and/or effects will occur based on a statistical data analysis is because when nothing takes place or no differences, effects, or relationship are found there is no possible reason that can be given as to why. This is where most business managers get into trouble when attempting to offer an explanation as to why something has not happened. Attempting to provide an answer to why something has not taken place is akin to discussing how many angels can be placed on the head of a pin—everyone’s answer is plausible and possible. As such business managers need to accept that which has happened and not that which has not happened.
Many business people will skirt the null hypothesis issue by attempting to set analternative hypothesis that states differences, effects and relationships will occur between and amongst that which is being investigated if certain conditions apply.Unfortunately, however, this reverse position is as bad. The research investigator might well be safe if the data analysis detects differences, effect or relationships, but what if it does not? In that case the business manager is back to square one in attempting to explain what has not happened. Although the hypothesis situation may seem c.
NORMAN, ELTON_BTM7303-12-8 2
NORMAN, ELTON_BTM7303-12-8 1
Hello Elton,
I appreciate your note. YES. Keep trying. I know that making the transition to doctoral-level reasoning can be hard! It was very hard for me in some areas because it seemed … unnatural. Does that make sense? Some aspects of this type of thinking seemed “clunky” and hard to explain in plain language. I wanted research problems, research purpose statements, etc. to simply flow. In the beginning of my journey there was very little flow (more like trickles) and lots of missteps!
For this assignment, you were asked to build on your assignment last week to further explore how you might examine your research problem using a quantitative methodology. You were required to respond to these questions:
· Please restate the research problem, purpose, and research questions you developed previously and incorporate any faculty feedback as appropriate. This week be sure to also include hypotheses for each of your research questions.
· How might surveys be used to answer your research questions? What are the advantages and disadvantages of using surveys to collect data?
· How might you use an experiment or quasi-experiment to answer your research questions? What are the advantages and disadvantages of using (quasi)experiments to collect your data?
· It is also important to consider how you might analyze the potential data you collect and factors that could affect those analyses. Specifically, what are Type I and Type II errors? How might these impact your study? What is statistical power? How might this impact your study? What steps can you take ahead of time to help avoid issues related to Type I & II errors as well as power?
As part of our standard, you were also required to use scholarly sources to support all assertions and research decisions.
Length: 5 to 7 pages, not including title and reference pages
I used the rubric below to assess your submission. As I moved through each section of your paper, I looked for information that demonstrated you understood important research terms such as hypothesis, null hypothesis, Type I and Type II Errors and statistical power. In most instances you demonstrated some understanding of these concepts or terms. In several instances your understanding hindered your ability to create rigorous hypotheses because there were aspects of these terms that remained unclear. I added several prompts and questions to help you in these areas.
Grading Rubric
Criteria
Content (4 points)
Points
1
State research problem, purpose, research questions and hypotheses
1.5/2
2
Discussed in detail the advantages and disadvantages of using surveys to collect data
.75/ 1
3
Explained how you could use experiments or quasi-experiments to collect data for your study and the advantages and disadvantages of these designs
.75/1
Organization (1 point)
4
Organized and presented in a clear manner. Included a minimum of five scholarly references, with appropri.
This document discusses determining appropriate sample sizes in survey research. It provides formulas and procedures for calculating sample sizes for continuous and categorical variables. For continuous variables, the Cochran formula is presented which considers the acceptable margin of error, alpha level, estimated variance, and population size. For categorical variables, similar considerations are made but typically result in larger sample sizes. The document emphasizes accurately estimating variables like variance and anticipated response rates to determine an appropriate oversampling size to achieve the target minimum sample.
1. Sample size calculation is an important part of ethical scientific research to avoid underpowered studies.
2. There are different approaches to sample size calculation depending on the study design and endpoints, such as comparing proportions, estimating confidence intervals, or analyzing time to event outcomes.
3. Key steps include defining the research hypothesis, primary and secondary endpoints, how and in whom the endpoints will be measured, and determining what difference is clinically meaningful to detect between study groups.
This document discusses key concepts related to data analysis and hypothesis testing. It explains that theories are composed of testable propositions and hypotheses. Hypotheses are evaluated through empirical research designed to test specific predictions. Researchers specify a null hypothesis and alternate hypothesis, collect data, and use statistical tests to either reject or fail to reject the null hypothesis. The goal is to minimize type 1 and type 2 errors by selecting an appropriate significance level and sample size. Traditional hypothesis testing uses an alpha level of 0.05. The document provides examples of how to state hypotheses, select a significance level, calculate test statistics, and make conclusions based on comparing p-values to the alpha level.
Page 266LEARNING OBJECTIVES· Explain how researchers use inf.docxkarlhennesey
Page 266
LEARNING OBJECTIVES
· Explain how researchers use inferential statistics to evaluate sample data.
· Distinguish between the null hypothesis and the research hypothesis.
· Discuss probability in statistical inference, including the meaning of statistical significance.
· Describe the t test and explain the difference between one-tailed and two-tailed tests.
· Describe the F test, including systematic variance and error variance.
· Describe what a confidence interval tells you about your data.
· Distinguish between Type I and Type II errors.
· Discuss the factors that influence the probability of a Type II error.
· Discuss the reasons a researcher may obtain nonsignificant results.
· Define power of a statistical test.
· Describe the criteria for selecting an appropriate statistical test.
Page 267IN THE PREVIOUS CHAPTER, WE EXAMINED WAYS OF DESCRIBING THE RESULTS OF A STUDY USING DESCRIPTIVE STATISTICS AND A VARIETY OF GRAPHING TECHNIQUES. In addition to descriptive statistics, researchers use inferential statistics to draw more general conclusions about their data. In short, inferential statistics allow researchers to (a) assess just how confident they are that their results reflect what is true in the larger population and (b) assess the likelihood that their findings would still occur if their study was repeated over and over. In this chapter, we examine methods for doing so.
SAMPLES AND POPULATIONS
Inferential statistics are necessary because the results of a given study are based only on data obtained from a single sample of research participants. Researchers rarely, if ever, study entire populations; their findings are based on sample data. In addition to describing the sample data, we want to make statements about populations. Would the results hold up if the experiment were conducted repeatedly, each time with a new sample?
In the hypothetical experiment described in Chapter 12 (see Table 12.1), mean aggression scores were obtained in model and no-model conditions. These means are different: Children who observe an aggressive model subsequently behave more aggressively than children who do not see the model. Inferential statistics are used to determine whether the results match what would happen if we were to conduct the experiment again and again with multiple samples. In essence, we are asking whether we can infer that the difference in the sample means shown in Table 12.1 reflects a true difference in the population means.
Recall our discussion of this issue in Chapter 7 on the topic of survey data. A sample of people in your state might tell you that 57% prefer the Democratic candidate for an office and that 43% favor the Republican candidate. The report then says that these results are accurate to within 3 percentage points, with a 95% confidence level. This means that the researchers are very (95%) confident that, if they were able to study the entire population rather than a sample, the actual percentage who preferred th ...
This document provides an overview and objectives of Chapter 1: Introduction to Statistics from an elementary statistics textbook. It covers key statistical concepts like data, population, sample, variables, and the two branches of statistics - descriptive and inferential. Potential pitfalls in statistical analysis like misleading conclusions, biased samples, and nonresponse are also discussed. Examples are provided to illustrate concepts like voluntary response samples, statistical versus practical significance, and interpreting correlation.
This document provides guidance on how to read, analyze, and critique a scientific study. It discusses key concepts like the null hypothesis, statistical significance, and types of data and appropriate statistical tests. It also outlines important steps to follow when reviewing a study, including understanding the study design, evaluating the data collection and analysis, interpreting graphs and statistics, and carefully considering the discussion and conclusions. Finally, it identifies several common pitfalls to watch out for related to statistical analysis and presentation of results.
This document provides an overview of key concepts in research methodology. It discusses research and defines it as a process using steps to increase understanding of a topic. The main steps in research are posed as a question, collecting data to answer it, and presenting an answer. It defines variables, hypotheses, and research design, as well as sample, sources of data collection, and data analysis. It also distinguishes between primary and secondary data and explains how to test hypotheses, minimize type 1 and 2 errors, and analyze results.
Between Black and White Population1. Comparing annual percent .docxjasoninnes20
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
This document discusses descriptive and inferential statistics used in nursing research. It defines key statistical concepts like levels of measurement, measures of central tendency, descriptive versus inferential statistics, and commonly used statistical tests. Nominal, ordinal, interval and ratio are the four levels of measurement, with ratio allowing the most data manipulation. Descriptive statistics describe sample data while inferential statistics allow estimating population parameters and testing hypotheses. Common descriptive statistics include mean, median and mode, while common inferential tests are t-tests, ANOVA, chi-square and correlation. Type I errors incorrectly reject the null hypothesis.
· On the basis of what you learned in the readings, define the tLesleyWhitesidefv
· On the basis of what you learned in the readings, define the terms "sample" and "population" and describe some of the advantages and disadvantages of using a sample compared to a population. Support your reasoning with examples.
· A researcher is studying the effects of caffeine on exam scores of college students. In this study:
· What would be the population and sample of this research Extrapolate your views of the advantages and disadvantages of samples and populations to this example.
· Why would the researcher want to use a sample or a population in this study
· When responding to your classmates' posts, comment on the examples that they provided to illustrate the advantages and disadvantages of a sample compared to a population. What advantages and disadvantages can you add
· Do you agree with your classmates regarding what should be used in this study—a sample or a population, Comment on the reasons they provided and explain why you agree or disagree with them.
CLASSMATE REPSONE:
The critical piece here is that the sample must represent the population.
If my population is high school students in Florida and my population comes from the local high school, does the sample represent the same kids as those who attend high school in Miami on the other side of the state, Probably not. If I sample only those in the 9th grade, does this represent "high school students" in Florida or even in the same high school, No, because 9th graders may not be like 12 graders.
It is a natural tendency to think of population as "everyone." but it may be a single school, a single grade or program at a school, a single business,a community, a state, people that represent a specific identity within a specific community, etc.
2
Week 7: Data Analytics
Student’s name
Instructor
Course
Date
Do you recommend that the data analyst examine aggregate data, detailed data, or both, to investigate this quality issue? Please explain your rationale.
As a data analyst, I believe that in this situation, when the goal is to enhance quality, the analyst should analyze aggregate data as well as more specific data. The "large picture" may be gained through aggregating data (Campbell, 2018). Big thinkers notice possibilities and take advantage of them. For the sake of profit, they're prepared to take risks. Detailed data analysis would reveal where and why procedures failed. It is considerably more intriguing to look at transactional data than it is to put them into demographic categories (Campbell, 2018).
Do you recommend that the data analyst use a retrospective data warehouse, clinical data store, or both, to investigate the mortality rate? Please explain your rationale.
According to Campbell (2018), medical trial data collection is currently a time-consuming, error-prone, and sometimes incomplete process due to the complexity of the data. To increase data quality and minimize data collecting times, new and more reliable procedures are required if info ...
This document discusses statistical significance, power, and effect size in response to a reexamination of reviewer bias. It argues that the power of the bogus study used in the original research was sufficient to detect typical effect sizes found in published research in the Journal of Counseling Psychology. While the median effect size reported in another study was small, the effect size was increasing over time and would correspond to a large effect by the year the current study was conducted. Further examination of the data supports the claim that the bogus study had adequate power to detect published effect sizes.
The Data Errors we Make by Sean Taylor at Big Data Spain 2017Big Data Spain
Where statistical errors come from, how they cause us to make bad decisions, and what to do about it.
https://www.bigdataspain.org/2017/talk/the-data-errors-we-make
Big Data Spain 2017
16th - 17th November Kinépolis Madrid
The document discusses how statistical methodology and modeling can influence theories and findings. It notes that all statistical models are imperfect, statistical significance does not equal substantive significance, correlation does not imply causation, and data can be manipulated. Specifically, it warns about issues like cherry picking data, multiple testing inflating false positives, and nominal significance levels differing from actual error rates when accounting for selection effects. The document advocates evaluating statistical models based on how well they capture phenomena of interest and checking their adequacy despite violations of assumptions.
IT support and services are the backbone of an organization. Having round-the-clock IT support solutions strategically supports your organization's ability to run effectively. This enables you to focus on your core business operations. Jerait.co.uk comprehend organizational needs and can navigate the business through updated technology recommendations. They majorly offer their services in locations like Edinburgh, Aberdeen, and Glasgow. They can help you enhance your IT infrastructure and future-proof your business with highly reliable, secure, and optimized IT support solutions.
2. This exercise uses the dataset WholeFoods.” (a) Use Excel to.docxeugeniadean34240
2. This exercise uses the dataset “WholeFoods.”
(a) Use Excel to construct a relative histogram for store size. Does the distribution of store size appear to be skewed? If so, does it appear to be skewed to the right or to the left? Explain.
(b) Use Excel to calculate the following four measures of central tendency for store size: mean, median, midrange, and 5% trimmed mean (using the trimmed mean definition from the textbook). Do any of these measures of central tendency appear to not be appropriate for this particular dataset? Explain.
(c) Use Excel to calculate the following four measures of dispersion for store size: variance, standard deviation, mean absolute deviation, and coefficient of variation. Please provide brief and “to-the-point” comments on your results.
(d) According to Chebyshev’s Theorem, at least what percentage of the observations within a sample is supposed to lie within 1.5 sample standard deviations of the sample mean? Next, using Excel, please take the observations for store size in the Whole Foods dataset and confirm that this prediction holds within the Whole Foods sample dataset.
(e) Use Excel to calculate the first quartile, the third quartile, the midhinge, and interquartile range for store size. Next, use Excel to create a box plot graph for store size. (Note: Excel does not have a built-in function for creating a box plot. Your group will need to “figure out” how to do it. For example, the internet has many examples of how to create a box plot in Excel using column/bar charts. You may do either a “horizontal” box plot (i.e., a box plot with the “whiskers” pointing to the right and to the left) or a “vertical” box plot (i.e., a box plot with the “whiskers” pointing to the top and to the bottom).)
(f) Use Excel to calculate both inner fences (left and right) for store size, and then both outer fences (left and right) for store size. Based on these calculated values, are there any “outlier” stores in the data? Any “extreme outlier” stores in the data? If so, which stores are they? (Note: In answering this question, please use the definition of “outlier” and “extreme outlier” provided on page 144 of the textbook; please do not use the definition of “outlier” provided on pages 135-137 of the textbook.) (g) Use Excel to calculate skewness for the variable store size. Is store size skewed right or left? Does your answer corroborate the answer you provided in part 2(a) above?
18 Chapter 1 Exploring Life and Science
• reproduce; and experience growth, and in many cases
development;
• maintain homeostasis to maintain the conditions of an internal
environment;
• respond to stimuli; and
• have an evolutionary history and are adapted to a way oflife.
1.2 Humans Are Related to Other Animals
The classification ofliving organisms mirrors their evolutionary
relationships. Humans are mammals, a type of vertebrate in the
animal kingdom ofthe domain Eukarya. Humans differ from other
mammals, including apes, .
This document discusses determining sample size for research studies. It defines key terms like sample size, population, and discusses factors that affect sample size like desired accuracy and available resources. It describes common methods for calculating sample size like formulas, tables, and software. Formulas use specifications like confidence level, margin of error, and population proportion to determine the needed sample size. The document emphasizes that determining an appropriate sample size is essential for research validity and making inferences to the target population.
CJ 316 – Research Methods in Criminal Justice Component #3.docxmccormicknadine86
CJ 316 – Research Methods in Criminal Justice
Component #3 – Research Design/Conclusion
Due by midnight on Saturday, February 24, 2018
Here you will explain the design for your proposed research. There are 3 elements to this section.
1. Hypothesis- after your literature review and problem statement you should have a clear thesis question
that you are intending to answer. This should be your first sentence under this section backed up by a
few supporting details that illustrates this claim.
a. Example: Community orientated polices has been a major contributor for decreasing crime in
inner cities. This fact has been cited throughout the literature over the years and has been seen as
an effective strategy (Please add more details, this is just an example).
b. Side note: You should have around 5 sentences, one stating your hypothesis/ thesis question, and
the other sentences should involve supporting details about your hypothesis.
2. Operationalization- Please discuss the variables that you will be using in your study. Each study should
contain a dependent and independent variable. In addition if you chose to use a theory to explain your
thesis question then please explain why your chose that theory.
a. Example: crime rate depends on community policing practices. The crime rate is the dependent
variable and community policing is the independent variable.
b. In addition, please include any issues of Validity, Reliability, or Ethics that pertain to your
operationalizing. Each of these elements should be broken off into separate paragraphs.
3. Research design/ Data and Methods- please describe your proposed research design. This should
include:
• The units of analysis
• Sampling frame
• Sampling procedure
• Sample size
• Methods of collection
Example:
With the evolution of the criminal justice system and its continued reliance on technology, the electronic
monitoring system is a safer and more effective way to keep track of criminals and reduce the recidivism of
the probationers. With probation officers under increasing caseloads and having to keep track of more and
more probationers, the people on probation are followed less and have less supervision while on probation.
This gives the probationers the opportunity to break their rules with a less likely chance that the overworked
officer will catch them. The ankle electronic monitoring system helps the officer keep track of more cases
easier and track the probationers more closely.
There are a few variables that are part of the electronic monitoring research. The independent variable of
the research is the electronic monitoring devices and the dependent variable is the reduction of recidivism.
The reduction of recidivism directly relates to the use of the ankle monitoring device. With the ankle
monitor, it convinces the probationer to stick to his clean ways because the probation officer will be notified
of the user’s actio ...
APA, The assignment require a contemporary approach addressing Race,.docxamrit47
APA, The assignment require a contemporary approach addressing Race, Gender, and Crime. All work will include an introduction and a cogent thesis. The literature review will include a body of knowledge inclusive of in text citations, and supporting relevant references. The paper should end with discussions that highlight the future of the CJS. A conclusion of the literature review will end the written assignment. The assignment will consist of 2000 words. Reference page along with 6 peer reviewed references and course textbook.
.
APA style and all questions answered ( no min page requirements) .docxamrit47
APA style and all questions answered ( no min page requirements)
Diagnostic Techniques -
Pick any two diseases that require diagnostic tests to identify them from the body system. Use one of the body systems: cardiovascular, respiratory, renal, hepatobiliary, lymphatic, reproductive or nervous systems. For each of the diseases, explain:
Why is a particular test recommended?
How does the test work?
What information is obtained from the diagnostic test regarding the disease?
Does the diagnosis need confirmation with another diagnostic test?
.
More Related Content
Similar to Answer questions Minimum 100 words each and reference (questions.docx
Hypothesis TestingThe Right HypothesisIn business, or an.docxadampcarr67227
Hypothesis Testing
The Right Hypothesis
In business, or any other discipline, once the question has been asked there must be a statement as to what will or will not occur through testing, measurement, and investigation. This process is known as formulating the right hypothesis. Broadly defined a hypothesis is a statement that the conditions under which something is being measured or evaluated holds true or does not hold true. Further, a business hypothesis is an assumption that is to be tested through market research, data mining, experimental designs, quantitative, and qualitative research endeavors. A hypothesis gives the businessperson a path to follow and specific things to look for along the road.
If the research and statistical data analysis supports and proves the hypothesis that becomes a project well done. If, however, the research data proved a modified version of the hypothesis then re-evaluation for continuation must take place. However, if the research data disproves the hypothesis then the project is usually abandoned.
Hypotheses come in two forms: the null hypothesis and the alternate hypothesis. As a student of applied business statistics you can pick up any number of business statistics textbooks and find a number of opinions on which type of hypothesis should be used in the business world. For the most part, however, and the safest, the better hypothesis to formulate on the basis of the research question asked is what is called the null hypothesis. A null hypothesis states that the research measurement data gathered will not support a difference, relationship, or effect between or amongst those variables being investigated. To the seasoned research investigator having to accept a statement that no differences, relationships, and/or effects will occur based on a statistical data analysis is because when nothing takes place or no differences, effects, or relationship are found there is no possible reason that can be given as to why. This is where most business managers get into trouble when attempting to offer an explanation as to why something has not happened. Attempting to provide an answer to why something has not taken place is akin to discussing how many angels can be placed on the head of a pin—everyone’s answer is plausible and possible. As such business managers need to accept that which has happened and not that which has not happened.
Many business people will skirt the null hypothesis issue by attempting to set analternative hypothesis that states differences, effects and relationships will occur between and amongst that which is being investigated if certain conditions apply.Unfortunately, however, this reverse position is as bad. The research investigator might well be safe if the data analysis detects differences, effect or relationships, but what if it does not? In that case the business manager is back to square one in attempting to explain what has not happened. Although the hypothesis situation may seem c.
NORMAN, ELTON_BTM7303-12-8 2
NORMAN, ELTON_BTM7303-12-8 1
Hello Elton,
I appreciate your note. YES. Keep trying. I know that making the transition to doctoral-level reasoning can be hard! It was very hard for me in some areas because it seemed … unnatural. Does that make sense? Some aspects of this type of thinking seemed “clunky” and hard to explain in plain language. I wanted research problems, research purpose statements, etc. to simply flow. In the beginning of my journey there was very little flow (more like trickles) and lots of missteps!
For this assignment, you were asked to build on your assignment last week to further explore how you might examine your research problem using a quantitative methodology. You were required to respond to these questions:
· Please restate the research problem, purpose, and research questions you developed previously and incorporate any faculty feedback as appropriate. This week be sure to also include hypotheses for each of your research questions.
· How might surveys be used to answer your research questions? What are the advantages and disadvantages of using surveys to collect data?
· How might you use an experiment or quasi-experiment to answer your research questions? What are the advantages and disadvantages of using (quasi)experiments to collect your data?
· It is also important to consider how you might analyze the potential data you collect and factors that could affect those analyses. Specifically, what are Type I and Type II errors? How might these impact your study? What is statistical power? How might this impact your study? What steps can you take ahead of time to help avoid issues related to Type I & II errors as well as power?
As part of our standard, you were also required to use scholarly sources to support all assertions and research decisions.
Length: 5 to 7 pages, not including title and reference pages
I used the rubric below to assess your submission. As I moved through each section of your paper, I looked for information that demonstrated you understood important research terms such as hypothesis, null hypothesis, Type I and Type II Errors and statistical power. In most instances you demonstrated some understanding of these concepts or terms. In several instances your understanding hindered your ability to create rigorous hypotheses because there were aspects of these terms that remained unclear. I added several prompts and questions to help you in these areas.
Grading Rubric
Criteria
Content (4 points)
Points
1
State research problem, purpose, research questions and hypotheses
1.5/2
2
Discussed in detail the advantages and disadvantages of using surveys to collect data
.75/ 1
3
Explained how you could use experiments or quasi-experiments to collect data for your study and the advantages and disadvantages of these designs
.75/1
Organization (1 point)
4
Organized and presented in a clear manner. Included a minimum of five scholarly references, with appropri.
This document discusses determining appropriate sample sizes in survey research. It provides formulas and procedures for calculating sample sizes for continuous and categorical variables. For continuous variables, the Cochran formula is presented which considers the acceptable margin of error, alpha level, estimated variance, and population size. For categorical variables, similar considerations are made but typically result in larger sample sizes. The document emphasizes accurately estimating variables like variance and anticipated response rates to determine an appropriate oversampling size to achieve the target minimum sample.
1. Sample size calculation is an important part of ethical scientific research to avoid underpowered studies.
2. There are different approaches to sample size calculation depending on the study design and endpoints, such as comparing proportions, estimating confidence intervals, or analyzing time to event outcomes.
3. Key steps include defining the research hypothesis, primary and secondary endpoints, how and in whom the endpoints will be measured, and determining what difference is clinically meaningful to detect between study groups.
This document discusses key concepts related to data analysis and hypothesis testing. It explains that theories are composed of testable propositions and hypotheses. Hypotheses are evaluated through empirical research designed to test specific predictions. Researchers specify a null hypothesis and alternate hypothesis, collect data, and use statistical tests to either reject or fail to reject the null hypothesis. The goal is to minimize type 1 and type 2 errors by selecting an appropriate significance level and sample size. Traditional hypothesis testing uses an alpha level of 0.05. The document provides examples of how to state hypotheses, select a significance level, calculate test statistics, and make conclusions based on comparing p-values to the alpha level.
Page 266LEARNING OBJECTIVES· Explain how researchers use inf.docxkarlhennesey
Page 266
LEARNING OBJECTIVES
· Explain how researchers use inferential statistics to evaluate sample data.
· Distinguish between the null hypothesis and the research hypothesis.
· Discuss probability in statistical inference, including the meaning of statistical significance.
· Describe the t test and explain the difference between one-tailed and two-tailed tests.
· Describe the F test, including systematic variance and error variance.
· Describe what a confidence interval tells you about your data.
· Distinguish between Type I and Type II errors.
· Discuss the factors that influence the probability of a Type II error.
· Discuss the reasons a researcher may obtain nonsignificant results.
· Define power of a statistical test.
· Describe the criteria for selecting an appropriate statistical test.
Page 267IN THE PREVIOUS CHAPTER, WE EXAMINED WAYS OF DESCRIBING THE RESULTS OF A STUDY USING DESCRIPTIVE STATISTICS AND A VARIETY OF GRAPHING TECHNIQUES. In addition to descriptive statistics, researchers use inferential statistics to draw more general conclusions about their data. In short, inferential statistics allow researchers to (a) assess just how confident they are that their results reflect what is true in the larger population and (b) assess the likelihood that their findings would still occur if their study was repeated over and over. In this chapter, we examine methods for doing so.
SAMPLES AND POPULATIONS
Inferential statistics are necessary because the results of a given study are based only on data obtained from a single sample of research participants. Researchers rarely, if ever, study entire populations; their findings are based on sample data. In addition to describing the sample data, we want to make statements about populations. Would the results hold up if the experiment were conducted repeatedly, each time with a new sample?
In the hypothetical experiment described in Chapter 12 (see Table 12.1), mean aggression scores were obtained in model and no-model conditions. These means are different: Children who observe an aggressive model subsequently behave more aggressively than children who do not see the model. Inferential statistics are used to determine whether the results match what would happen if we were to conduct the experiment again and again with multiple samples. In essence, we are asking whether we can infer that the difference in the sample means shown in Table 12.1 reflects a true difference in the population means.
Recall our discussion of this issue in Chapter 7 on the topic of survey data. A sample of people in your state might tell you that 57% prefer the Democratic candidate for an office and that 43% favor the Republican candidate. The report then says that these results are accurate to within 3 percentage points, with a 95% confidence level. This means that the researchers are very (95%) confident that, if they were able to study the entire population rather than a sample, the actual percentage who preferred th ...
This document provides an overview and objectives of Chapter 1: Introduction to Statistics from an elementary statistics textbook. It covers key statistical concepts like data, population, sample, variables, and the two branches of statistics - descriptive and inferential. Potential pitfalls in statistical analysis like misleading conclusions, biased samples, and nonresponse are also discussed. Examples are provided to illustrate concepts like voluntary response samples, statistical versus practical significance, and interpreting correlation.
This document provides guidance on how to read, analyze, and critique a scientific study. It discusses key concepts like the null hypothesis, statistical significance, and types of data and appropriate statistical tests. It also outlines important steps to follow when reviewing a study, including understanding the study design, evaluating the data collection and analysis, interpreting graphs and statistics, and carefully considering the discussion and conclusions. Finally, it identifies several common pitfalls to watch out for related to statistical analysis and presentation of results.
This document provides an overview of key concepts in research methodology. It discusses research and defines it as a process using steps to increase understanding of a topic. The main steps in research are posed as a question, collecting data to answer it, and presenting an answer. It defines variables, hypotheses, and research design, as well as sample, sources of data collection, and data analysis. It also distinguishes between primary and secondary data and explains how to test hypotheses, minimize type 1 and 2 errors, and analyze results.
Between Black and White Population1. Comparing annual percent .docxjasoninnes20
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
This document discusses descriptive and inferential statistics used in nursing research. It defines key statistical concepts like levels of measurement, measures of central tendency, descriptive versus inferential statistics, and commonly used statistical tests. Nominal, ordinal, interval and ratio are the four levels of measurement, with ratio allowing the most data manipulation. Descriptive statistics describe sample data while inferential statistics allow estimating population parameters and testing hypotheses. Common descriptive statistics include mean, median and mode, while common inferential tests are t-tests, ANOVA, chi-square and correlation. Type I errors incorrectly reject the null hypothesis.
· On the basis of what you learned in the readings, define the tLesleyWhitesidefv
· On the basis of what you learned in the readings, define the terms "sample" and "population" and describe some of the advantages and disadvantages of using a sample compared to a population. Support your reasoning with examples.
· A researcher is studying the effects of caffeine on exam scores of college students. In this study:
· What would be the population and sample of this research Extrapolate your views of the advantages and disadvantages of samples and populations to this example.
· Why would the researcher want to use a sample or a population in this study
· When responding to your classmates' posts, comment on the examples that they provided to illustrate the advantages and disadvantages of a sample compared to a population. What advantages and disadvantages can you add
· Do you agree with your classmates regarding what should be used in this study—a sample or a population, Comment on the reasons they provided and explain why you agree or disagree with them.
CLASSMATE REPSONE:
The critical piece here is that the sample must represent the population.
If my population is high school students in Florida and my population comes from the local high school, does the sample represent the same kids as those who attend high school in Miami on the other side of the state, Probably not. If I sample only those in the 9th grade, does this represent "high school students" in Florida or even in the same high school, No, because 9th graders may not be like 12 graders.
It is a natural tendency to think of population as "everyone." but it may be a single school, a single grade or program at a school, a single business,a community, a state, people that represent a specific identity within a specific community, etc.
2
Week 7: Data Analytics
Student’s name
Instructor
Course
Date
Do you recommend that the data analyst examine aggregate data, detailed data, or both, to investigate this quality issue? Please explain your rationale.
As a data analyst, I believe that in this situation, when the goal is to enhance quality, the analyst should analyze aggregate data as well as more specific data. The "large picture" may be gained through aggregating data (Campbell, 2018). Big thinkers notice possibilities and take advantage of them. For the sake of profit, they're prepared to take risks. Detailed data analysis would reveal where and why procedures failed. It is considerably more intriguing to look at transactional data than it is to put them into demographic categories (Campbell, 2018).
Do you recommend that the data analyst use a retrospective data warehouse, clinical data store, or both, to investigate the mortality rate? Please explain your rationale.
According to Campbell (2018), medical trial data collection is currently a time-consuming, error-prone, and sometimes incomplete process due to the complexity of the data. To increase data quality and minimize data collecting times, new and more reliable procedures are required if info ...
This document discusses statistical significance, power, and effect size in response to a reexamination of reviewer bias. It argues that the power of the bogus study used in the original research was sufficient to detect typical effect sizes found in published research in the Journal of Counseling Psychology. While the median effect size reported in another study was small, the effect size was increasing over time and would correspond to a large effect by the year the current study was conducted. Further examination of the data supports the claim that the bogus study had adequate power to detect published effect sizes.
The Data Errors we Make by Sean Taylor at Big Data Spain 2017Big Data Spain
Where statistical errors come from, how they cause us to make bad decisions, and what to do about it.
https://www.bigdataspain.org/2017/talk/the-data-errors-we-make
Big Data Spain 2017
16th - 17th November Kinépolis Madrid
The document discusses how statistical methodology and modeling can influence theories and findings. It notes that all statistical models are imperfect, statistical significance does not equal substantive significance, correlation does not imply causation, and data can be manipulated. Specifically, it warns about issues like cherry picking data, multiple testing inflating false positives, and nominal significance levels differing from actual error rates when accounting for selection effects. The document advocates evaluating statistical models based on how well they capture phenomena of interest and checking their adequacy despite violations of assumptions.
IT support and services are the backbone of an organization. Having round-the-clock IT support solutions strategically supports your organization's ability to run effectively. This enables you to focus on your core business operations. Jerait.co.uk comprehend organizational needs and can navigate the business through updated technology recommendations. They majorly offer their services in locations like Edinburgh, Aberdeen, and Glasgow. They can help you enhance your IT infrastructure and future-proof your business with highly reliable, secure, and optimized IT support solutions.
2. This exercise uses the dataset WholeFoods.” (a) Use Excel to.docxeugeniadean34240
2. This exercise uses the dataset “WholeFoods.”
(a) Use Excel to construct a relative histogram for store size. Does the distribution of store size appear to be skewed? If so, does it appear to be skewed to the right or to the left? Explain.
(b) Use Excel to calculate the following four measures of central tendency for store size: mean, median, midrange, and 5% trimmed mean (using the trimmed mean definition from the textbook). Do any of these measures of central tendency appear to not be appropriate for this particular dataset? Explain.
(c) Use Excel to calculate the following four measures of dispersion for store size: variance, standard deviation, mean absolute deviation, and coefficient of variation. Please provide brief and “to-the-point” comments on your results.
(d) According to Chebyshev’s Theorem, at least what percentage of the observations within a sample is supposed to lie within 1.5 sample standard deviations of the sample mean? Next, using Excel, please take the observations for store size in the Whole Foods dataset and confirm that this prediction holds within the Whole Foods sample dataset.
(e) Use Excel to calculate the first quartile, the third quartile, the midhinge, and interquartile range for store size. Next, use Excel to create a box plot graph for store size. (Note: Excel does not have a built-in function for creating a box plot. Your group will need to “figure out” how to do it. For example, the internet has many examples of how to create a box plot in Excel using column/bar charts. You may do either a “horizontal” box plot (i.e., a box plot with the “whiskers” pointing to the right and to the left) or a “vertical” box plot (i.e., a box plot with the “whiskers” pointing to the top and to the bottom).)
(f) Use Excel to calculate both inner fences (left and right) for store size, and then both outer fences (left and right) for store size. Based on these calculated values, are there any “outlier” stores in the data? Any “extreme outlier” stores in the data? If so, which stores are they? (Note: In answering this question, please use the definition of “outlier” and “extreme outlier” provided on page 144 of the textbook; please do not use the definition of “outlier” provided on pages 135-137 of the textbook.) (g) Use Excel to calculate skewness for the variable store size. Is store size skewed right or left? Does your answer corroborate the answer you provided in part 2(a) above?
18 Chapter 1 Exploring Life and Science
• reproduce; and experience growth, and in many cases
development;
• maintain homeostasis to maintain the conditions of an internal
environment;
• respond to stimuli; and
• have an evolutionary history and are adapted to a way oflife.
1.2 Humans Are Related to Other Animals
The classification ofliving organisms mirrors their evolutionary
relationships. Humans are mammals, a type of vertebrate in the
animal kingdom ofthe domain Eukarya. Humans differ from other
mammals, including apes, .
This document discusses determining sample size for research studies. It defines key terms like sample size, population, and discusses factors that affect sample size like desired accuracy and available resources. It describes common methods for calculating sample size like formulas, tables, and software. Formulas use specifications like confidence level, margin of error, and population proportion to determine the needed sample size. The document emphasizes that determining an appropriate sample size is essential for research validity and making inferences to the target population.
CJ 316 – Research Methods in Criminal Justice Component #3.docxmccormicknadine86
CJ 316 – Research Methods in Criminal Justice
Component #3 – Research Design/Conclusion
Due by midnight on Saturday, February 24, 2018
Here you will explain the design for your proposed research. There are 3 elements to this section.
1. Hypothesis- after your literature review and problem statement you should have a clear thesis question
that you are intending to answer. This should be your first sentence under this section backed up by a
few supporting details that illustrates this claim.
a. Example: Community orientated polices has been a major contributor for decreasing crime in
inner cities. This fact has been cited throughout the literature over the years and has been seen as
an effective strategy (Please add more details, this is just an example).
b. Side note: You should have around 5 sentences, one stating your hypothesis/ thesis question, and
the other sentences should involve supporting details about your hypothesis.
2. Operationalization- Please discuss the variables that you will be using in your study. Each study should
contain a dependent and independent variable. In addition if you chose to use a theory to explain your
thesis question then please explain why your chose that theory.
a. Example: crime rate depends on community policing practices. The crime rate is the dependent
variable and community policing is the independent variable.
b. In addition, please include any issues of Validity, Reliability, or Ethics that pertain to your
operationalizing. Each of these elements should be broken off into separate paragraphs.
3. Research design/ Data and Methods- please describe your proposed research design. This should
include:
• The units of analysis
• Sampling frame
• Sampling procedure
• Sample size
• Methods of collection
Example:
With the evolution of the criminal justice system and its continued reliance on technology, the electronic
monitoring system is a safer and more effective way to keep track of criminals and reduce the recidivism of
the probationers. With probation officers under increasing caseloads and having to keep track of more and
more probationers, the people on probation are followed less and have less supervision while on probation.
This gives the probationers the opportunity to break their rules with a less likely chance that the overworked
officer will catch them. The ankle electronic monitoring system helps the officer keep track of more cases
easier and track the probationers more closely.
There are a few variables that are part of the electronic monitoring research. The independent variable of
the research is the electronic monitoring devices and the dependent variable is the reduction of recidivism.
The reduction of recidivism directly relates to the use of the ankle monitoring device. With the ankle
monitor, it convinces the probationer to stick to his clean ways because the probation officer will be notified
of the user’s actio ...
Similar to Answer questions Minimum 100 words each and reference (questions.docx (20)
APA, The assignment require a contemporary approach addressing Race,.docxamrit47
APA, The assignment require a contemporary approach addressing Race, Gender, and Crime. All work will include an introduction and a cogent thesis. The literature review will include a body of knowledge inclusive of in text citations, and supporting relevant references. The paper should end with discussions that highlight the future of the CJS. A conclusion of the literature review will end the written assignment. The assignment will consist of 2000 words. Reference page along with 6 peer reviewed references and course textbook.
.
APA style and all questions answered ( no min page requirements) .docxamrit47
APA style and all questions answered ( no min page requirements)
Diagnostic Techniques -
Pick any two diseases that require diagnostic tests to identify them from the body system. Use one of the body systems: cardiovascular, respiratory, renal, hepatobiliary, lymphatic, reproductive or nervous systems. For each of the diseases, explain:
Why is a particular test recommended?
How does the test work?
What information is obtained from the diagnostic test regarding the disease?
Does the diagnosis need confirmation with another diagnostic test?
.
Apa format1-2 paragraphsreferences It is often said th.docxamrit47
Apa format
1-2 paragraphs
references
It is often said that people today are no longer loyal to organizations. Yet employees are loyal to their direct supervisor. This discussion question asks you to evaluate and apply your understanding of followership theory. Reflect on any techniques for understanding, achieving, and positively applying organizational and personal power and influence as a follower.
When effective leaders leave an organization to move on to another organization, they often take at least one or two employees. Employees who respect a leader and have generated a relationship and bond want to work under that leader. One indicator of effective leaders is communication skills in which a leader is attuned to the needs of each employee.
REAL-LIFE APPLICATION: Discuss a leader with whom you are familiar and who has the loyalty of his or her direct reports. Alternatively, you might interview a friend or family member about their experiences or you may research a well-known leader. Address the following in your response.
Evaluate how this leader earns respect and loyalty from his or her employees.
If you were in a leadership position, what methods would you implement to inspire, motivate, and empower your employees?
Support your discussion with at least one scholarly article and, if relevant, credible media reports, and cite each source using APA style.
.
APA format2-3 pages, double-spaced1. Choose a speech to review. It.docxamrit47
APA format2-3 pages, double-spaced
1. Choose a speech to review. It can be any type (informative, persuasive, special occasion). It should be between 7-20 minutes. You may search Youtube for videos of speeches (TED talks, commencement speeches, public addresses by government etc).
Copy the link of the video you've chosen to your submission form.
2. Analyze the speech content and speaker delivery, paying attention to:
what the message is
how the message is organized
nonverbal cues (tone, pitch, pauses, gestures etc)
the context in which the message is being delivered
3. Provide your opinion on the speech and speaker delivery.
What do you think the intention of the speaker is?
Does the effect on the audience seem to follow that intention?
What did you like about the speech?
Is it appropriate for the context; why?
Be sure to attach your essay as a .doc or .rtf file and make sure to proofread for spelling and grammar errors.
.
APA format httpsapastyle.apa.orghttpsowl.purd.docxamrit47
APA format
https://apastyle.apa.org/
https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/general_format.html
Min number of pages are 30 pages
Must have
Contents with page numbers
Abstract
Introduction
The problem
Are there any sub-problems?
Is there any issue need to be present in relation to the problem?
The solutions
Steps of the solutions
Compare the solution to other solution
Any suggestion to improve the solution
Conclusion
References
Research Paper topic:
Computer Security Objects Register
https://csrc.nist.gov/Projects/Computer-Security-Objects-Register
The Computer Security Objects Register (CSOR) specifies names that uniquely identify CSOs. These unique names are used to reference these objects in abstract specifications and during the negotiation of security services for a transaction or application.
The studies must look at different algorithms used CSOR and the benefits of using CSOR
.
APA format2-3 pages, double-spaced1. Choose a speech to review. .docxamrit47
APA format2-3 pages, double-spaced
1. Choose a speech to review. It can be any type (informative, persuasive, special occasion). It should be between 7-20 minutes. You may search Youtube for videos of speeches (TED talks, commencement speeches, public addresses by government etc).
Copy the link of the video you've chosen to your submission form.
2. Analyze the speech content and speaker delivery, paying attention to:
what the message is
how the message is organized
nonverbal cues (tone, pitch, pauses, gestures etc)
the context in which the message is being delivered
3. Provide your opinion on the speech and speaker delivery.
What do you think the intention of the speaker is?
Does the effect on the audience seem to follow that intention?
What did you like about the speech?
Is it appropriate for the context; why?
Be sure to attach your essay as a .doc or .rtf file and make sure to proofread for spelling and grammar errors.
.
APA Formatting AssignmentUse the information below to create.docxamrit47
APA Formatting Assignment
Use the information below to create a reference list using proper APA formatting
1)
Authors: Christina Jane Jones, Helen Smith and Carrie Llewellyn
Title: Evaluating the effectiveness of health belief model interventions in improving adherence: a
systematic review
Publication Year: 2014
Journal: Health Psychology Review, Vol. 8, No. 3, 253_269
DOI: 10.1080/17437199.2013.802623
2)
Authors: Mohammad Bagherniya, Ali Taghipour, Manoj Sharma, Amirhossein Sahebkar, Isobel R.
Contento, Seyed Ali Keshavarz, Firoozeh Mostafavi Darani and Mohammad Safarian
Title: Obesity intervention programs among adolescents using social cognitive theory: a systematic
literature review
Publication Year: 2018
Journal: Health Education Research, Vol. 33, No. 1, 26_39
3)
Authors: Christine Y. K. Lau, Kris Y. W. Lok, Marie Tarrant
Title: Breastfeeding Duration and the Theory of Planned Behavior and Breastfeeding Self-Efficacy
Framework: A Systematic Review of Observational Studies
Publication Year: 2018
Journal: Maternal and Child Health Journal, Vol. 22, 327_342
DOI: 10.1007/s10995-018-2453-x
4)
Authors: Amy E. Bodde, Dong-Chul Seo
Title: A review of social and environmental barriers to physical activity for adults with intellectual
disabilities
Publication Year: 2009
Journal: Disability and Health Journal, Vol. 2, 57_66
5)
Authors: Linda Irvine, Ambrose J. Melson, Brian Williams, Falko F. Sniehotta, Gerry Humphris, Iain K.
Crombie
Title: Design and development of a complex narrative intervention delivered by text messages to reduce
binge drinking among socially disadvantaged men
Publication Year: 2018
Journal: Pilot and Feasibility Studies, Vol. 4, No.105, 1_11
.
APA style300 words10 maximum plagiarism Mrs. Smith was.docxamrit47
APA style
300 words
10% maximum plagiarism
Mrs. Smith was a 73-year-old widow who lived alone with no significant social support. She had been suffering from emphysema for several years and had had frequent hospitalizations for respiratory problems. On the last hospital admission, her pneumonia quickly progressed to organ failure. Death appeared to be imminent, and she went in and out of consciousness, alone in her hospital room. The medical-surgical nursing staff and the nurse manager focused on making Mrs. Smith’s end-of-life period as comfortable as possible. Upon consultation with the vice president for nursing, the nurse manager and the unit staff nurses decided against moving Mrs. Smith to the palliative care unit, although considered more economical, because of the need to protect and nurture her because she was already experiencing signs and symptoms of the dying process. Nurses were prompted by an article they read on human caring as the “language of nursing practice” (Turkel, Ray, & Kornblatt, 2012) in their weekly caring practice meetings.
The nurse manager reorganized patient assignments. She felt that the newly assigned clinical nurse leader who was working between both the medical and surgical units could provide direct nurse caring and coordination at the point of care (Sherman, 2012). Over the next few hours, the clinical nurse leader and a staff member who had volunteered her assistance provided personal care for Mrs. Smith. The clinical nurse leader asked the nurse manager whether there was a possibility that Mrs. Smith had any close friends who could “be there” for her in her final moments. One friend was discovered and came to say goodbye to Mrs. Smith. With help from her team, the clinical nurse leader turned, bathed, and suctioned Mrs. Smith. She spoke quietly, prayed, and sang hymns softly in Mrs. Smith’s room, creating a peaceful environment that expressed compassion and a deep sense of caring for her. The nurse manager and nursing unit staff were calmed and their “hearts awakened” by the personal caring that the clinical nurse leader and the volunteer nurse provided. Mrs. Smith died with caring persons at her bedside, and all members of the unit staff felt comforted that she had not died alone.
Davidson, Ray, and Turkel (2011) note that caring is complex, and caring science includes the art of practice, “an aesthetic which illuminates the beauty of the dynamic nurse-patient relationship, that makes possible authentic spiritual-ethical choices for transformation—healing, health, well-being, and a peaceful death” (p. xxiv). As the clinical nurse leader and the nursing staff in this situation engaged in caring practice that focused on the well-being of the patient, they simultaneously created a caring-healing environment that contributed to the well-being of the whole—the emotional atmosphere of the unit, the ability of the clinical nurse leader and staff nurses to practice caringly and competently, and the qualit.
APA format1. What are the three most important takeawayslessons.docxamrit47
APA FORMAT
1. What are the three most important takeaways/lessons from the material provided in this module? (150 words or more)
2. Drawing on the material that was provided what else would like to know? What other related questions/ideas/topics would you like to explore in the future? (100 words or more)
3. What is lobbying? What role does it play in the relationship between government and business? (100 words or more)
.
APA General Format Summary APA (American Psychological.docxamrit47
APA General Format
Summary
APA (American Psychological Association) style is most commonly used to cite sources within
the social sciences. This resource, revised according to the 6th edition, second printing of the
APA manual, offers examples for the general format of APA research papers, in-text citations,
endnotes/footnotes, and the reference page. For more information, please consult the Publication
Manual of the American Psychological Association, (6th ed., 2nd printing).
Contributors: Joshua M. Paiz, Elizabeth Angeli, Jodi Wagner, Elena Lawrick, Kristen Moore,
Michael Anderson, Lars Soderlund, Allen Brizee, Russell Keck
Last Edited: 2016-05-13 12:06:24
Please use the example at the bottom of this page to cite the Purdue OWL in APA.
To see a side-by-side comparison of the three most widely used citation styles, including a chart
of all APA citation guidelines, see the Citation Style Chart.
You can also watch our APA vidcast series on the Purdue OWL YouTube Channel.
General APA Guidelines
Your essay should be typed, double-spaced on standard-sized paper (8.5" x 11") with 1" margins
on all sides. You should use a clear font that is highly readable. APA recommends using 12 pt.
Times New Roman font.
Include a page header (also known as the "running head") at the top of every page. To create
a page header/running head, insert page numbers flush right. Then type "TITLE OF YOUR
PAPER" in the header flush left using all capital letters. The running head is a shortened
version of your paper's title and cannot exceed 50 characters including spacing and punctuation.
Major Paper Sections
Your essay should include four major sections: The Title Page, Abstract, Main Body,
and References.
Title Page
The title page should contain the title of the paper, the author's name, and the institutional
affiliation. Include the page header (described above) flush left with the page number flush right
at the top of the page. Please note that on the title page, your page header/running head should
look like this:
Running head: TITLE OF YOUR PAPER
Pages after the title page should have a running head that looks like this:
TITLE OF YOUR PAPER
http://owl.english.purdue.edu/owl/resource/949/01/
http://www.youtube.com/playlist?list=PL8F43A67F38DE3D5D&feature=edit_ok
http://www.youtube.com/user/OWLPurdue
After consulting with publication specialists at the APA, OWL staff learned that the APA 6th
edition, first printing sample papers have incorrect examples of Running heads on pages after
the title page. This link will take you to the APA site where you can find a complete list of all the
errors in the APA's 6th edition style guide.
Type your title in upper and lowercase letters centered in the upper half of the page. APA
recommends that your title be no more than 12 words in length and that it should not contain
abbreviations or words that serve no purpose. Your title may take up one or two l.
Appearance When I watched the video of myself, I felt that my b.docxamrit47
Appearance
When I watched the video of myself, I felt that my black straight skirt, closed toed shoes and white collared shirt gave a professional appearance and more credibility with the audience. My hair was a little too casual. I wished I had that one strand tacked back so it would have stayed out of my eyes. This made it hard for the audience to see my face and was distracting when I had to keep tucking it back. My earrings were small so the audience would watch me and not my jewelry. I wasn’t standing up straight and it made me look less confident. I need to remember to have better posture when speaking.Organizational Pattern
My introduction was slow and clear and the story was suspenseful enough to grab their attention. It was a little confusing at the beginning because I didn’t preview the main points but because I transitioned well between the steps by saying, “Now that you have completed step 1, selecting the pattern, you are ready to move to step two, preparing the wood” the audience was able to follow. I remembered to state my research source for two of the steps but forgot the third. It made the third step seem shallower and I think I lost credibility. My word choice was good. I made sure to use a variety of descriptive words for the types of wood, explained new vocabulary and repeated phrases to help the audience remember the steps. For some reason the ending was weak. I didn’t tie it to the introduction or have a good ending sentence. It would have been a good idea to remind them of the beginning story and how woodworking affects their everyday life.Vocal Qualities
During my speech I had such a dry mouth that I messed up on the pronunciation of some of the words like saying “exspecially” instead of “especially.” This sounded less professional to the audience. I had good projection so that even the back row could hear without straining. My pitch variation is getting better but I still keep using the same rhythm with my pauses. This make me sound more monotone, like I’m reading the speech rather than just having a conversation. I’ll need to practice changing my rate and pauses. I also noticed many of my sentences end in an up-pitch, like I’m asking a question. If I bring some of those down it will make me appear more confident rather than questioning. It is hard to get rid of those filler words. “Like” and “so” are two of my favorites but it does make me sound like a teenager. I had no idea I said them so much.Delivery
There weren’t many gestures, which made me look stiff and nervous. I just held my note cards and stood in one spot the whole time. I need to do more with my hands and maybe move a little more in the space. I really admire the people in class who have such a good flow with their delivery from gestures to using the space around them purposefully. I felt I held my note cards too close to my face and had my head down most of the time. While watching the video, I noticed I looked at my cards and the poster a l.
apa format1-2 paragraphsreferencesFor this week’s .docxamrit47
apa format
1-2 paragraphs
references
For this week’s discussion, choose a current social movement from anywhere in the world. Then, using the required readings, videos, and your own research, discuss the “role these leaders” play in your chosen social movement. In addition, describe any group or collective processes that you discovered. Use specific examples to make major points.
Support your writing with at least two scholarly sources that are
in addition
to required reading.
.
APA Format, with 2 references for each question and an assignment..docxamrit47
APA Format, with 2 references for each question and an assignment.
1. Some say that analytics in general dehumanize managerial
activities, and others say they do not. Discuss arguments
for both points of view.
3. What are some of the major privacy concerns in employing
intelligent systems on mobile data?
4. Identify some cases of violations of user privacy from
current literature and their impact on data science as a
profession.
Ex.2. Search the Internet to find examples of how intelligent
systems can facilitate activities such as empowerment,
mass customization, and teamwork.
Reflective Assignment:
What has been significant about this course that will help you perform data science tasks in the future.
.
APA-formatted 8-10 page research paper which examines the potential .docxamrit47
APA-formatted 8-10 page research paper which examines the potential psychological impact of long-term exposure to mass media messages on the major issues surrounding political advertising and political campaigns in the United States and why it is currently relevant and impacts society.
12 Point Times New Roman Font
Double Spaced
Please include research that supports ideas and topics related to political advertising and political campaigns in the United States.
.
APA STYLE 1.Define the terms multiple disabilities and .docxamrit47
APA STYLE
1.Define the terms
multiple disabilities
and
deaf-blindness
as described in the Individuals with Disabilities Act (IDEA)
2.Identify three types of educational assessments for students with severe and multiple disabilities.
3.Identify the features of effective services and supports for children with severe and multiple disabilities during a) early childhood years and b) elementary school years.
4. Distinguish between the term
deaf
and
hard of hearing
5.
Identify 4 approaches to teaching communication skills to people with a hearing loss.
6.
What are the distinctive features of refractive eye problems, muscle disorders of the eye and receptive eye problems?
7.Describe two content areas that should be included in educational programs for students with vision loss.
8. Identify several disabilities that may accompany cerebral palsy.
9.What is spina bifida myelomeningocele?
10.Describe the physical limitations associated with muscular distrophy
11.Describe the AIDS disease stages through which individuals with the syndrome move
12.Identify present and future interventions for the treatment of children and youth with cystic fibrosis.
.
APA STYLE follow this textbook answer should be summarize for t.docxamrit47
APA STYLE
follow this textbook answer should be summarize for this below text
Study all types of Distributive Justice (6 or 7 total)
Summarize each in
one sentence
. Produce examples for each.
Don't use
any other text or article except this one.
There are different theories of how to make the basic distribution. Among them are:
1. Scope and Role of Distributive Principles
2. Strict Egalitarianism
3. The Difference Principle
4. Equality of Opportunity and Luck Egalitarianism
5. Welfare-Based Principles
6. Desert-Based Principles
7. Libertarian Principles
8. Feminist Principles
There are different theories of how to make the basic distribution. Among them are:
Strict Egalitarianism
One of the simplest principles of distributive justice is that of strict, or radical, equality. The principle says that every person should have the same level of material goods and services. The principle is most commonly justified on the grounds that people are morally equal and that equality in material goods and services is the best way to give effect to this moral ideal.
The Difference Principle
The most widely discussed theory of distributive justice in the past four decades has been that proposed by John Rawls in
A Theory of Justice
, (Rawls 1971), and
Political Liberalism
, (Rawls 1993). Rawls proposes the following two principles of justice:
· 1. Each person has an equal claim to a fully adequate scheme of equal basic rights and liberties, which scheme is compatible with the same scheme for all; and in this scheme the equal political liberties, and only those liberties, are to be guaranteed their fair value.
· 2. Social and economic inequalities are to satisfy two conditions: (a) They are to be attached to positions and offices open to all under conditions of fair equality of opportunity; and (b), they are to be to the greatest benefit of the least advantaged members of society. (Rawls 1993, pp. 5–6. The principles are numbered as they were in Rawls' original
A Theory of Justice
.)
Equality of Opportunity and Luck Egalitarianism
Dworkin proposed that people begin with equal resources but be allowed to end up with unequal economic benefits as a result of their own choices. What constitutes a just material distribution is to be determined by the result of a thought experiment designed to model fair distribution. Suppose that everyone is given the same purchasing power and each uses that purchasing power to bid, in a fair auction, for resources best suited to their life plans. They are then permitted to use those resources as they see fit. Although people may end up with different economic benefits, none of them is given less consideration than another in the sense that if they wanted somebody else's resource bundle they could have bid for it instead.
In Dworkin's proposal we see his attitudes to ‘ambitions’ and ‘endowments’ which have become a central feature of luck egalitarianism (though under a wide variety of al.
APA7Page length 3-4, including Title Page and Reference Pag.docxamrit47
APA7
Page length: 3-4, including Title Page and Reference Page.
Discuss and explore the synergy that RFID technology & Time Based Competition has had on the grocery retail industry. Are the two concepts compatible? And then explain. Provide real-world scenarios, which reflect Time Base Competition.
video on
RFID in Logistics
.
APA format, 2 pagesThree general sections 1. an article s.docxamrit47
This document outlines the three main sections required for an APA format summary of a research article that is 2 pages in length: 1) A summary of the article, 2) An explanation of how the article relates to psychology and human behavior, specifically discussing the meaning and implications of the results, 3) A reaction to the article providing thoughts on whether the results were interesting, surprising, or common sense.
APA Style with minimum of 450 words, with annotations, quotation.docxamrit47
APA Style with minimum of 450 words, with annotations, quotations and 3 references.
. Mass vaccination after a disaster:
There was a natural disaster that occurred and has led to an infectious disease outbreak (your choice of one that is vaccine-preventable). Those affected by the disaster are settled in temporary locations with high population densities, inadequate food and shelter, unsafe water, poor sanitation and infrastructure that has been compromised or destroyed. There is a vaccine available for the infectious disease but there are not enough doses to give to all who are at-risk due to the natural disaster.
You are the public health official in charge of infectious disease prevention. Devise a plan to administer the vaccine to the population. Will you use a lottery system or target specific sub-populations? How will you track and monitor those who are vaccinated? Use the attributes of the infectious disease to provide reasoning behind your plan. What other prevention techniques that can be used to supplement the vaccination plan?
.
APA FORMAT1. What are the three most important takeawayslesson.docxamrit47
APA FORMAT
1. What are the three most important takeaways/lessons from the material provided in this online course (the entire quarter) and why? (150 words or more)
2. How did the material provided in this course assist your growth as a student and as an individual, in general? (150 words or more).
.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Answer questions Minimum 100 words each and reference (questions.docx
1. Answer questions Minimum 100 words each and reference
(questions #1-2) KEEP questions WITH ANSWER
1. A key point to get out of this topic is the idea that these
errors are theoretical. You won't be sure as to whether one
occurred or not. Why are they theoretical in nature? Hint: think
about a study and knowing the "truth"
2. Pick a study of interest and identify the null and alternative
hypothesis. How does this fit in with regards to the topic of a
type I and type II error? Always keep this in mind when you are
trying to identify what a type I and type II error are.
A minimum of 75 words each question and References (IF
NEEDED)(Response #1 – 7) KEEP RESPONSE WITH
ANSWER
Make sure the Responses includes the Following: (a) an
understanding of the weekly content as supported by a scholarly
resource, (b) the provision of a probing question. (c) stay on
topic
1) According to the reading, we set the alpha which is the
largest probability for type I error. To increase the power of a
hypothesis researchers can use larger samples which provides
more information and raise the significance level which
increases the probability that the hypothesis will be rejected.
2) A Type 1 error occurs when individuals involved in research
make the decision to reject the belief of truth when in actuality
the hypothesis is true. Type 1 errors are errors in research when
the researcher makes the wrong decision to reject a true null
hypothesis. Type II errors are considered less of a problem than
Type 1 errors, but can prove to be detrimental in the field of
medicine. This type of error occurs when researchers decide to
keep a false null hypothesis, when in fact the hypothesis is true.
The method to avoid making Type 1 decisions is to test the null
2. hypothesis at the highest level (Alpha Level). This will lessen
the possibilities of making this type of error (Privitera, 2018).
3) According to Privitera (2018) a type 1 error is the probability
of rejecting a null hypotheses that is actually true, researchers
purposely make this error. A null hypotheses is a statement
about a population parameter that is assumed to be true, this
hypotheses is a starting point (Privitera, 2018). The type 2 error
or beta error is the probability of retaining a null hypotheses
that is actually false (Privitera, 2018). The type 1 error is
committed when a researcher decides to reject previous notions
of truth that are in fact true (Privitera, 2018). The best way to
avoid these types of errors is to be open minded and not reject
notions if there is fact to back the notions up. In my opinion a
type 1 error is something committed with bias by the researcher.
I say this because as a researcher it is their job to find all facts
or at least most all facts and apply them to their study or
research, especially if they commit a type one error knowingly.
If a researcher does this error then they are not following
through with basic research guidelines.
4) A one-tailed test is used in a hypothesis test where the
alternative hypothesis is stated as either (>) or (<). When a
researcher is interested in a specific alternative to the null
hypothesis. A two-tailed test is used when one wants to avoid
making a type III error. An error that occurs when one accepts a
null hypothesis that is incorrect because the the rejection region
of the tail was on the opposite end. SPSS can be used to
compute the calculations for each by imputing data in to a new
data chart and then using the frequencies tab to help solve for
the mean and standard deviation. From there one can use
appendix c. to solve for the two-tails. (Privitera., G. J., 2018).
5) We use the one-tailed test when we need to check or test the
claim or hypothesis which is directional in nature. This means if
the alternative hypothesis of the test includes ‘less than’ or
‘greater than’, then we use one-tailed tests. We use the two-
tailed test when we need to check or test the claim or hypothesis
which is non-directional in nature (Privitera., G. J., 2018). That
3. is, if the alternative hypothesis of the test includes ‘not equal
to’, then we use two-tailed tests. When we perform one-tailed
tests and two-tailed test by using SPSS, then we need to use
some setting or calculations. For most of the tests, SPSS
provides the results for the two-tailed test as a default. Most of
the times, SPSS do not provide results for one-tailed tests and
in such cases, we need to calculate the p-value from this output.
Examples of one tailed and two tailed test is given as below:
H0: µ = 10 v/s Ha: µ < 10 (One tailed /lower tailed /left tailed
/directional test)
H0: µ = 10 v/s Ha: µ > 10 (One tailed /upper tailed /right tailed
/directional test)
H0: µ = 10 v/s Ha: µ ≠ 10 (two tailed /non-directional test)
6) In the Type 1 error and Type 2 error, in this two types of
errors that exist in a hypothesis testing of Type 1 and Type 2.
In Type 1 and Type 2 that occur in when the null hypothesis is
true but is still being rejected. In being able to use the
following example from a law case, this is equivalent of
convicting an innocent man or individual. In the statistics or
research types of errors in types think that he or she has a
significant difference, when there is actually no significant
differences in the types of errors. A Type 2 error occurs when
null hypothesis is false but not rejected, which is equivalent of
acquiring a guilty man or individual. This is where the
researchers actually has a significant difference but does not
realize it. Many examples are generated in the Type 1 and Type
2 that allows the researcher to understand and generate this
hypothesis. In the law, example that is a matter of opinion and
often depends on the nature of the time and associated in the
factor that generates the punishment for the individual that
committed the crime. That is why it is important to understand
the meaning, understanding and hypothesis of this type 1 and
type 2 significant of errors. In the statistics, replication of
studies will reduce the chance that an artifact appears
significant when it is not. In one type of error is eliminated and
4. there is a very good chance of the other occurring. In the
chance of both types of errors cannot be eliminated. There are
many factors that allows the reseacher to come up with this type
of hypothesis that allows them too see and understand this type
1 and type 2 errors.
7) After researching and exploring this question, it is my belief
that if you can explain why you are more interested in an effect
in one direction and not the other direction, it is a good time to
use a one-tailed test. A plus is an improvement in power to
reject the null hypothesis if the null hypothesis is definitely
false. A more extensive null hypothesis with the ability to
detect unexpected results can be restricted when the null
hypothesis is not rejected. There is a higher level of trust; the
lower the level p-value the less plausible that the null
hypothesis is true. The one-tailed test is used where an
alternative hypothesis is more or less whereas a two-tailed test
is used when the researcher is attempting to avoid a type III
error. According to Privitera (2018), A basic explanation of how
SPSS is used to perform the calculations is to : go to the
analysis menu; compare means from drop down menu click one
sample t test from pop-up menu select the dependent variables
you want to test check arrow button to move variables into test
variables pain test box enter value compare to click ok etc.
imputing the data use frequencies tab will find the mean and
standard deviation. The two-tailed test can be found using
appendix c
Case Study 2: Data Breaches and Regulatory Requirements
Due Week 6 and worth 100 points
The National Institute of Standards and Technology (NIST)
provides an extensive amount of information, resources, and
guidance on IT and information security topics. The Federal
Information Security Management Act (FISMA) provides
standards and guidelines for establishing information security
within federal systems. However, there have been, and
5. continues to be, numerous security incidents including data
breaches within federal systems. Review the information about
FISMA at the NIST Website, located
at http://csrc.nist.gov/groups/SMA/fisma/index.html.
Additionally, review the information, located
at http://www.govtech.com/blogs/lohrmann-on-
cybersecurity/Dark-Clouds-Over-Technology-042212.html,
about the data breaches within government systems.
Select one (1) of the data breaches mentioned to conduct a case
analysis, or select another based on your research, and research
more details about that incident to complete the following
assignment requirements.
Write a three to five (3-5) page paper on your selected case in
which you:
1. Describe the data breach incident and the primary causes of
the data breach.
2. Analyze how the data breach could have been prevented with
better adherence to and compliance with regulatory
requirements and guidelines, including management controls;
include an explanation of the regulatory requirement (such as
from FISMA, HIPAA, or others).
3. Assess if there are deficiencies in the regulatory requirements
and whether they need to be changed, and how they need to be
changed, to mitigate further data breach incidents.
4. Use at least three (3) quality resources in this assignment.
Note: Wikipedia and similar Websites do not qualify as quality
resources.
Your assignment must follow these formatting requirements:
· This course requires use of new Student Writing Standards
(SWS). The format is different than other Strayer University
courses. Please take a moment to review the SWS
documentation for details.
· Include a cover page containing the title of the assignment, the
student’s name, the professor’s name, the course title, and the
date. The cover page and the source list are not included in the
required page length.
6. The specific course learning outcomes associated with this
assignment are:
· Describe legal compliance laws addressing public and private
institutions.
· Examine the principles requiring governance of information
within organizations.
· Use technology and information resources to research legal
issues in information security.
· Write clearly and concisely about information security legal
issues and topics using proper writing mechanics and technical
style conventions.
Assignment 3: Intellectual Property Laws and Security
Measures
Due Week 7 and worth 100 points
Intellectual property law is a major issue facing organizations,
and many organizations have been fined significant amounts for
violations of intellectual property law. As an information
security manager in an IT consulting company, your executive
management team is concerned about the potential intellectual
property violations in the organization. To address these
concerns, they have asked you to develop an intellectual
property policy to implement within the organization.
Develop a policy document in which you:
1. Provide an overview of intellectual property law.
2. Describe who the policy applies to.
3. Create policy, standards, and guidelines concerning:
a. Patents
b. Trademarks
c. Copyrights
d. Ownership of company material
4. Develop intellectual property violation reporting procedures.
5. Develop intellectual property infringement ramifications.
6. Use at least three quality resources in this
assignment. Note: Wikipedia and similar Websites do not
qualify as quality resources.
7. Your written paper must follow these formatting requirements:
This course requires use of new Student Writing Standards
(SWS). The format is different than other Strayer University
courses. Please take a moment to review the SWS
documentation for details.
(Note: You’ll be prompted to enter your Blackboard login
credentials to view these standards.)
. Your paper should include a cover page.
·
. Your paper should be of sufficient length to fully develop your
own ideas that address the items called for in the instructions,
and not be filled with “filler” information. Write clearly and
concisely.
. The paper should be double-spaced, 12-point font.
The specific course learning outcomes associated with this
assignment are:
· Analyze intellectual property laws.
· Use technology and information resources to research legal
issues in information security.
· Write clearly and concisely about information security legal
issues and topics using proper writing mechanics and technical
style conventions.
Assignment 2: Structural Modeling and Behavior Modeling
Due Week 6 and worth 120 points
Refer to the functional model you verified and validated for
ABS in the Week 4 assignment to complete this assignment.
Based on your performance, ABS management was so satisfied
that it wants you to develop both the structural and behavior
models. This way, ABS can fully understand both the
interaction that would take place between the users and the
system, and the system itself in greater detail.
Note: You may create and / or assume all necessary assumptions
8. needed for the completion of this assignment.
Write a four to five (4-5) page paper in which you:
1. Create Class-Responsibility-Collaboration (CRC) cards and a
class diagram based on the functional models through the use of
graphical tools in Microsoft Word or Visio, or an open source
alternative such as Dia. Note: The graphically depicted solution
is not included in the required page length.
2. Identify each use case in the functional model and create a
sequence and communication diagram for each scenario of each
use case identified through the use of graphical tools in
Microsoft Word or Visio, or an open source alternative such as
Dia. Note: The graphically depicted solution is not included in
the required page length.
3. Create a behavioral state machine for each of the complex
classes in the class diagram.
4. Perform a CRUDE analysis to show the interactivity of the
objects in the system.
5. Perform a verification and validation walk-through of
each:Revise the requirements document created in Assignment 1
with additional information found in this assignment and
document the assumptions.
1. Functional model
2. Structural model
3. Behavioral model
6.
7. Use at least three (3) quality resources in this
assignment. Note: Wikipedia and similar Websites do not
qualify as quality resources.
Your assignment must follow these formatting requirements:
· This course requires use of new Strayer Writing Standards
(SWS). The format is different from other Strayer University
courses. Please take a moment to review the SWS
documentation for details.
· Be typed, double spaced, using Times New Roman font (size
12), with one-inch margins on all sides; citations and references
9. must follow SWS or school-specific format. Check with your
professor for any additional instructions.
· Include a cover page containing the title of the assignment, the
student’s name, the professor’s name, the course title, and the
date. The cover page and the reference page are not included in
the required assignment page length.
· Include charts or diagrams created in Visio or Dia. The
completed diagrams / charts must be imported into the Word
document before the paper is submitted.
The specific course learning outcomes associated with this
assignment are:
· Describe object-oriented modeling, structural modeling, and
behavioral modeling.
· Develop class diagram based on business scenarios.
· Use technology and information resources to research issues in
procuring and designing project requirements.
· Write clearly and concisely about project requirements and
design topics using proper writing mechanics and technical
style conventions.
Assignment 3: Design with UML
Due Week 7 and worth 120 points
Advanced Business Systems (ABS) is a consulting and staffing
company providing specialized staffing and consulting services
to clients in a variety of different industries. It has offices in
major U.S. metro areas and has ongoing relationships with
Fortune 500 companies. Its areas of services range from
software development and network engineering to geo-
information systems. It has fifty (50) plus regional offices in
U.S. and five (5) offices in Canada. It plans to expand to other
countries in the future.
When an ABS client company determines that it will need a
contractor or temporary professional, it issues a staffing request
against the contract it had previously negotiated with ABS. The
contract manager in ABS reviews the staff request and ensures
that the request is valid with its current contract with its client
10. from the database.
· If the request is not valid, the contract manager sends the
staffing request back to the client and explains the reasons and
asks for the need for starting a new contract.
· If the request is valid, the contract manager will start
recruiting requests by putting the request into its staffing
database. The staffing request is then sent to ABS placement
department.
In the placement department, the placement specialists will
check the job requirements and candidates qualifications.
· If there is a qualified candidate, the specialist will notify the
candidate and put a note in the database.
· If a qualified candidate cannot be found or not immediately
available, the specialist notifies contract managers and
recruiting department; the recruiting department starts search
outside immediately.
The recruiting department normally has thirty (30) days to find
an outside candidate and send the qualified candidates to the
placement department to review. If an internal qualified
candidate is confirmed with his / her availability, the
confirmation will be sent to the arrangement department. In the
arrangement department, the candidate works with the
specialists to further confirm the placement details, such as
starting date, location, compensation (e.g., per diem), and travel
arrangement. The final confirmation will be sent to the client
along with a billing schedule. If the client agrees with the
arrangement, he/she acknowledges the arrangement with
contract managers in the contract department. The contract
manager then puts a memo into its database and closes the
request.
Note: You may create and / or assume all necessary assumptions
needed for the completion of this assignment.
Write a three to four (3-4) page paper in which you:
1. Create a package diagram of the problem domain layer using
the communication diagrams and the CRUDE matrix through the
use of graphical tools in Microsoft Word or Visio, or an open
11. source alternative such as Dia. Note: The graphically depicted
solution is not included in the required page length.
2. Perform and explain the verification and validation walk-
through of the package diagram.
3. Create a set of invariants for attributes and relationships and
add them to the CRC cards for each class in the structural model
using Object Constraint Language (OCL).
4. List the classes in the structure model. Choose one (1) class
and create a contract for each method in that class. Note: Be
sure to use OCL to specify the preconditions and the post
conditions.
5. Create a method specification for each method using both
structured English and activity diagram for the algorithm
specification through the use of graphical tools in Microsoft
Word or Visio, or an open source alternative such as Dia. Note:
The graphically depicted solution is not included in the required
page length.
6. Use at least two (2) quality resources in this
assignment. Note: Wikipedia and similar Websites do not
qualify as quality resources.
Your assignment must follow these formatting requirements:
· This course requires use of new Strayer Writing Standards
(SWS). The format is different from other Strayer University
courses. Please take a moment to review the SWS
documentation for details.
· Be typed, double spaced, using Times New Roman font (size
12), with one-inch margins on all sides; citations and references
must follow SWS or school-specific format. Check with your
professor for any additional instructions.
· Include a cover page containing the title of the assignment, the
student’s name, the professor’s name, the course title, and the
date. The cover page and the reference page are not included in
the required assignment page length.
· Include charts or diagrams created in Visio or Dia. The
completed diagrams / charts must be imported into the Word
document before the paper is submitted.
12. The specific course learning outcomes associated with this
assignment are:
· Determine the steps and principles of design modeling with
UML.
· Document and describe the different state of objects
throughout the life cycle.
· Use technology and information resources to research issues in
procuring and designing project requirements.
· Write clearly and concisely about project requirements and
design topics using proper writing mechanics and technical
style conventions.
Discussions (around 200 words each)
1
"Data Breach Notification" Please respond to the following:
Data breach laws have made us more aware of how our PII and
other corporate data is compromised in recent years.
Intellectual property is often the target of attacks from foreign
entities and even governments. Banks don’t like people to
know how much money is stolen annually by hackers; despite
their best efforts to prevent such theft. Discuss your thoughts
on the subjects mentioned here based on your learning from this
week.
2
"Online Contracts" Please respond to the following:
Online contracts are becoming ubiquitous these days. They’re
sometimes signed online even in face-to-face meetings between
parties. Based on your study this week, what are some pitfalls
you previously didn’t know? Describe an online contract or
end-user license agreement you signed that made you think. Do
you ever agree to things without fully reading them, even when
the signature block says, “I have read and understand”? What
do you think about this now that you have learned about online
13. contracts?
3
"Policies, Standards, Procedures, and Guidelines" Please
respond to the following:
This week you studied policies, standards, procedures and
guidelines. If you were the project leader at a small company
being spun off from a larger company, how would you tackle
the task of adapting your company’s policies regarding
information security? What are some of your greatest
concerns? What rules are you likely to keep and which won’t
really apply? Remember to keep a balance. You don’t want the
employees to be so locked down by rules that they can’t
efficiently do their jobs.
4
Object-Oriented Design" Please respond to the following:
· Select an organization that you are familiar with and
determine the most advantageous benefits of using object-
oriented design in this organization and state why. In addition,
explain the places within this organization that object-oriented
design is not advantageous.
5
"Data Management Layer Design" Please respond to the
following:
· Recommend one to two (1-2) methods to reduce space
consumption and increase performance for object-oriented
database. Provide a rationale for your recommendations.
6
"Cloud Computing" Please respond to the following:
· Identify the main challenges for provisioning the physical
architecture layer with cloud technologies. Additionally,
recommend methods to mitigate those challenges.