Statistics: What you Need to Know
Introduction
Often, when people begin a statistics course, they worry about doing advanced mathematics or their math phobias kick in. Understanding that statistics as addressed in this course is not a math course at all is important. The only math you will do is addition, subtraction, multiplication, and division. In these days of computer capability, you generally don't even have to do that much, since Excel is set up to do basic statistics for you. The key elements for the student in this course is to understand the various types of statistics, what their requirements are, what they do, and how you can use and interpret the results. Referring back to the basic components of a valid research study, which statistic a researcher uses depends on several things:
The research question itself
The sample size
The type of data you have collected
The type of statistic called for by the design
All quantitative studies require a data set. Qualitative studies may use a data set or may use observations with no numerical data at all. For the purposes of the next modules, our focus will be on quantitative studies.
Types of Statistics
There are several types of statistics available to the researcher. Descriptive statistics provide a basic description of the data set. This includes the measures of central tendency: means, medians, and modes, and the measures of dispersion, including variances and standard deviations. Descriptive statistics also include the sample size, or "N", and the frequency with which each data point occurs in the data set.
Inferential statistics allow the researcher to make predictions, estimations, and generalizations about the data set, the sample, and the population from which the sample was drawn. They allow you to draw inferences, generalizations, and possibilities regarding the relationship between the independent variable and the dependent variable to indicate how those inferences answer the research question. Researchers can make predictions and estimations about how the results will fit the overall population. Statistics can also be described in terms of the types of data they can analyze. Non-parametric statistics can be used with nominal or ordinal data, while parametric statistics can be used with interval and ratio data types.
Types of Data
There are four types of data that a researcher may collect.
Nominal Data Sets
The Nominal data set includes simple classifications of data into categories which are all of equal weight and value. Examples of categories that are equal to each other include gender (male, female), state of birth (Arizona, Wyoming, etc.), membership in a group (yes, no). Each of these categories is equivalent to the other, without value judgments.
Ordinal Data Sets
Ordinal data sets also have data classified into categories, but these categories have some form or order or ranking attached, often of some sort of value / val.
Need a nonplagiarised paper and a form completed by 1006015 before.docxlea6nklmattu
Need a nonplagiarised paper and a form completed by 10/06/015 before 7:00pm. I have attached the documents along the rubics that must be followed.
Coyne and Messina Articles, Part 2 Statistical Assessment
Details:
1) Write a paper of 1,000-1,250 words regarding the statistical significance of outcomes as presented in Messina's, et al. article "The Relationship between Patient Satisfaction and Inpatient Admissions Across Teaching and Nonteaching Hospitals."
2) Assess the appropriateness of the statistics used by referring to the chart presented in the Module 4 lecture and the resource "Statistical Assessment."
3) Discuss the value of statistical significance vs. pragmatic usefulness.
4) Prepare this assignment according to the APA guidelines found in the APA Style Guide located in the Student Success Center. An abstract is not required.
5) This assignment uses a grading rubric. Instructors will be using the rubric to grade the assignment; therefore, students should review the rubric prior to beginning the assignment to become familiar with the assignment criteria and expectations for successful completion of the assignment.
Statistics: What you Need to Know
Introduction
Often, when people begin a statistics course, they worry about doing advanced mathematics or their math phobias kick in. Understanding that statistics as addressed in this course is not a math course at all is important. The only math you will do is addition, subtraction, multiplication, and division. In these days of computer capability, you generally don't even have to do that much, since Excel is set up to do basic statistics for you. The key elements for the student in this course is to understand the various types of statistics, what their requirements are, what they do, and how you can use and interpret the results. Referring back to the basic components of a valid research study, which statistic a researcher uses depends on several things:
·
The research question itself
·
The sample size
·
The type of data you have collected
·
The type of statistic called for by the design
All quantitative studies require a data set. Qualitative studies may use a data set or may use observations with no numerical data at all. For the purposes of the next modules, our focus will be on quantitative studies.
Types of Statistics
There are several types of statistics available to the researcher. Descriptive statistics provide a basic description of the data set. This includes the measures of central tendency: means, medians, and modes, and the measures of dispersion, including variances and standard deviations. Descriptive statistics also include the sample size, or "N", and the frequency with which each data point occurs in the data set.
Inferential statistics allow the researcher to make predictions, estimations, and generalizations about the data set, the sample, and the population from which the sample was drawn. They allow you to draw inferences, generaliza.
Need a nonplagiarised paper and a form completed by 1006015 before.docxlea6nklmattu
Need a nonplagiarised paper and a form completed by 10/06/015 before 7:00pm. I have attached the documents along the rubics that must be followed.
Coyne and Messina Articles, Part 2 Statistical Assessment
Details:
1) Write a paper of 1,000-1,250 words regarding the statistical significance of outcomes as presented in Messina's, et al. article "The Relationship between Patient Satisfaction and Inpatient Admissions Across Teaching and Nonteaching Hospitals."
2) Assess the appropriateness of the statistics used by referring to the chart presented in the Module 4 lecture and the resource "Statistical Assessment."
3) Discuss the value of statistical significance vs. pragmatic usefulness.
4) Prepare this assignment according to the APA guidelines found in the APA Style Guide located in the Student Success Center. An abstract is not required.
5) This assignment uses a grading rubric. Instructors will be using the rubric to grade the assignment; therefore, students should review the rubric prior to beginning the assignment to become familiar with the assignment criteria and expectations for successful completion of the assignment.
Statistics: What you Need to Know
Introduction
Often, when people begin a statistics course, they worry about doing advanced mathematics or their math phobias kick in. Understanding that statistics as addressed in this course is not a math course at all is important. The only math you will do is addition, subtraction, multiplication, and division. In these days of computer capability, you generally don't even have to do that much, since Excel is set up to do basic statistics for you. The key elements for the student in this course is to understand the various types of statistics, what their requirements are, what they do, and how you can use and interpret the results. Referring back to the basic components of a valid research study, which statistic a researcher uses depends on several things:
·
The research question itself
·
The sample size
·
The type of data you have collected
·
The type of statistic called for by the design
All quantitative studies require a data set. Qualitative studies may use a data set or may use observations with no numerical data at all. For the purposes of the next modules, our focus will be on quantitative studies.
Types of Statistics
There are several types of statistics available to the researcher. Descriptive statistics provide a basic description of the data set. This includes the measures of central tendency: means, medians, and modes, and the measures of dispersion, including variances and standard deviations. Descriptive statistics also include the sample size, or "N", and the frequency with which each data point occurs in the data set.
Inferential statistics allow the researcher to make predictions, estimations, and generalizations about the data set, the sample, and the population from which the sample was drawn. They allow you to draw inferences, generaliza.
Basics of Educational Statistics (Inferential statistics)HennaAnsari
Inferential Statistics
6.1 Introduction to Inferential Statistics
6.1.1 Areas of Inferential Statistics
6.2.2 Logic of Inferential Statistics
6.2 Importance of Inferential Statistics in Research
Statistical Processes
Can descriptive statistical processes be used in determining relationships, differences, or effects in your research question and testable null hypothesis? Why or why not? Also, address the value of descriptive statistics for the forensic psychology research problem that you have identified for your course project. read an article for additional information on descriptive statistics and pictorial data presentations.
300 words APA rules for attributing sources.
Computing Descriptive Statistics
Computing Descriptive Statistics: “Ever Wonder What Secrets They Hold?” The Mean, Mode, Median, Variability, and Standard Deviation
Introduction
Before gaining an appreciation for the value of descriptive statistics in behavioral science environments, one must first become familiar with the type of measurement data these statistical processes use. Knowing the types of measurement data will aid the decision maker in making sure that the chosen statistical method will, indeed, produce the results needed and expected. Using the wrong type of measurement data with a selected statistic tool will result in erroneous results, errors, and ineffective decision making.
Measurement, or numerical, data is divided into four types: nominal, ordinal, interval, and ratio. The businessperson, because of administering questionnaires, taking polls, conducting surveys, administering tests, and counting events, products, and a host of other numerical data instrumentations, garners all the numerical values associated with these four types.
Nominal Data
Nominal data is the simplest of all four forms of numerical data. The mathematical values are assigned to that which is being assessed simply by arbitrarily assigning numerical values to a characteristic, event, occasion, or phenomenon. For example, a human resources (HR) manager wishes to determine the differences in leadership styles between managers who are at different geographical regions. To compute the differences, the HR manager might assign the following values: 1 = West, 2 = Midwest, 3 = North, and so on. The numerical values are not descriptive of anything other than the location and are not indicative of quantity.
Ordinal Data
In terms of ordinal data, the variables contained within the measurement instrument are ranked in order of importance. For example, a product-marketing specialist might be interested in how a consumer group would respond to a new product. To garner the information, the questionnaire administered to a group of consumers would include questions scaled as follows: 1 = Not Likely, 2 = Somewhat Likely, 3 = Likely, 4 = More Than Likely, and 5 = Most Likely. This creates a scale rank order from Not Likely to Most Likely with respect to acceptance of the new consumer product.
Interval Data
Oftentimes, in addition to being ordered, the differences (or intervals) between two adjacent measurement values on a measurement scale are identical. For example, the di ...
Biostatistics in clinical research involves the application of statistical methods to analyze and interpret data from clinical trials. It plays a crucial role in study design, sample size determination, data analysis, and result interpretation. Biostatisticians ensure that clinical research findings are valid, reliable, and meaningful, contributing to evidence-based medicine. Their expertise helps researchers make informed decisions, assess treatment efficacy, and draw accurate conclusions about the safety and effectiveness of interventions.
Project 2: Research Paper Compendium
Choose what you consider to be a monster or monstrosity –
literal
figurative (ideology, practice)
historical
cryptozoology
Examples:
mythology
invention
Vlad Tepes
Joseph Stalin
Pablo Escobar
Nazis
Biological Weapons
Assault Rifles
Adolf Hitler
the Ku Klux Klan
Dylan Roof
Griselda Blanco
Aileen Wuornos
Fred & Rosemary West
Mark Twitchell
Jeffrey Dahmer
Long Island Serial Killer
Jack the Ripper
Jim Jones/Jonestown
Bigfoot
Loch Ness Monster
the Hydra
Slender Man
Michael Myers
Ed Gein
Freddy Krueger
Slavery
Human Trafficking
the Drug Trade
Drug Addiction
Rwandan Genocide
Pol Pot’s Khmer Rouge
Aurora shooting
Sandy Hook
Lizzie Borden
Saddam Hussein
Heaven’s Gate Cult
Baba Yaga
the Holocaust
Balkan Genocide
the list goes on…
Write an 8 to 9 page research paper in which you are the expert on this monster/monstrosity. Both your paper and your expert presentation will reflect the biography/origin; timeline of actions/atrocities; cultural/societal impact; how this subject is depicted/sensationalized through various writings/the media (stories, biographies, scholarly articles, comics, graphic novels, poems, movies, interviews, folklore/fairy tails, television shows, et cetera); and why this monster/monstrosity has meaning to you. The paper must also include
7-8 annotated bibliography entries (I have attatched a document to show what it is).
Jamal Sampson's paper has to focus on the two monsters listed:
Saddam Hussein
Osama Bin Laden
.
Project 1 Interview Essay Conduct a brief interview with an Asian.docxdessiechisomjj4
Project 1: Interview Essay
Conduct a brief interview with an Asian immigrant to ask about their immigration story and push-pull factors. This can last 5-15 minutes. Then, write a 2 paragraphs on the DB.
You do
not
have to include the person’s real name! Immigration status is a sensitive topic, so please understand if someone does not want to be interviewed. Students have interviewed friends, family members, people in their community, and other students.
Project 1: Prompt
1.
Brief facts:
Around what age did they immigrate? How old are they now (in my 30s is acceptable)? What push-pull factors led them to immigrate to the U.S.? (You may have to explain what push-pull factors are.)
2. Add your own comments/perspective and perhaps even your own immigration story. What aspects of their story did you find interesting or surprising? What aspects were familiar to you?
Example:
I conducted a 10 minute interview with my neighbor "Dr. Villanueva" who immigrated to the U.S. over 45 years ago at the age of 26. I asked him about his push and pull factors. What reasons did he have for leaving his home country and why did he choose the U.S. as his new home? He stated that he wanted to leave the Philippines for a better life and more opportunities. He had grown up as the youngest of nine children and was very poor, but was able to study medicine and become a medical doctor specializing in ophthalmology. He heard that the U.S. was encouraging medical professionals to work there especially if they were fluent in English. According to our reading "Filipinos in America," (Lee 2015) the Philippines was a colony of the U.S. from 1898-1945 and English was taught in the education system (Lee, p. 90). Plus, many Filipinos then and still today dream about immigrating to the United States to improve their educational and financial opportunities. Dr. Villanueva came to the U.S. after the 1965 Immigration and Nationality Act abolished national quotas but limited immigration from Asia to educated professionals. When I asked if he felt that he experienced discrimination, Dr. Villanueva said yes, many times, but overall he is glad that he immigrated because his children had so many more opportunities in the U.S. Often, people still think that he is a foreigner or can't speak English. There have been a few occasions that people directed racial slurs at him, but he has not experienced any physical harm.
Dr. Villanueva seems to fit much of the data on Asian Americans that we studied in this class. However, I noticed some ways that he did not. For example, {etc....} Dr. Villanueva's story is much different than my grandparents' story who immigrated from __ and did not have college degrees when they arrived. [ADD YOUR PERSONAL REFLECTIONS ON THE INTERVIEW.]
.
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Basics of Educational Statistics (Inferential statistics)HennaAnsari
Inferential Statistics
6.1 Introduction to Inferential Statistics
6.1.1 Areas of Inferential Statistics
6.2.2 Logic of Inferential Statistics
6.2 Importance of Inferential Statistics in Research
Statistical Processes
Can descriptive statistical processes be used in determining relationships, differences, or effects in your research question and testable null hypothesis? Why or why not? Also, address the value of descriptive statistics for the forensic psychology research problem that you have identified for your course project. read an article for additional information on descriptive statistics and pictorial data presentations.
300 words APA rules for attributing sources.
Computing Descriptive Statistics
Computing Descriptive Statistics: “Ever Wonder What Secrets They Hold?” The Mean, Mode, Median, Variability, and Standard Deviation
Introduction
Before gaining an appreciation for the value of descriptive statistics in behavioral science environments, one must first become familiar with the type of measurement data these statistical processes use. Knowing the types of measurement data will aid the decision maker in making sure that the chosen statistical method will, indeed, produce the results needed and expected. Using the wrong type of measurement data with a selected statistic tool will result in erroneous results, errors, and ineffective decision making.
Measurement, or numerical, data is divided into four types: nominal, ordinal, interval, and ratio. The businessperson, because of administering questionnaires, taking polls, conducting surveys, administering tests, and counting events, products, and a host of other numerical data instrumentations, garners all the numerical values associated with these four types.
Nominal Data
Nominal data is the simplest of all four forms of numerical data. The mathematical values are assigned to that which is being assessed simply by arbitrarily assigning numerical values to a characteristic, event, occasion, or phenomenon. For example, a human resources (HR) manager wishes to determine the differences in leadership styles between managers who are at different geographical regions. To compute the differences, the HR manager might assign the following values: 1 = West, 2 = Midwest, 3 = North, and so on. The numerical values are not descriptive of anything other than the location and are not indicative of quantity.
Ordinal Data
In terms of ordinal data, the variables contained within the measurement instrument are ranked in order of importance. For example, a product-marketing specialist might be interested in how a consumer group would respond to a new product. To garner the information, the questionnaire administered to a group of consumers would include questions scaled as follows: 1 = Not Likely, 2 = Somewhat Likely, 3 = Likely, 4 = More Than Likely, and 5 = Most Likely. This creates a scale rank order from Not Likely to Most Likely with respect to acceptance of the new consumer product.
Interval Data
Oftentimes, in addition to being ordered, the differences (or intervals) between two adjacent measurement values on a measurement scale are identical. For example, the di ...
Biostatistics in clinical research involves the application of statistical methods to analyze and interpret data from clinical trials. It plays a crucial role in study design, sample size determination, data analysis, and result interpretation. Biostatisticians ensure that clinical research findings are valid, reliable, and meaningful, contributing to evidence-based medicine. Their expertise helps researchers make informed decisions, assess treatment efficacy, and draw accurate conclusions about the safety and effectiveness of interventions.
Project 2: Research Paper Compendium
Choose what you consider to be a monster or monstrosity –
literal
figurative (ideology, practice)
historical
cryptozoology
Examples:
mythology
invention
Vlad Tepes
Joseph Stalin
Pablo Escobar
Nazis
Biological Weapons
Assault Rifles
Adolf Hitler
the Ku Klux Klan
Dylan Roof
Griselda Blanco
Aileen Wuornos
Fred & Rosemary West
Mark Twitchell
Jeffrey Dahmer
Long Island Serial Killer
Jack the Ripper
Jim Jones/Jonestown
Bigfoot
Loch Ness Monster
the Hydra
Slender Man
Michael Myers
Ed Gein
Freddy Krueger
Slavery
Human Trafficking
the Drug Trade
Drug Addiction
Rwandan Genocide
Pol Pot’s Khmer Rouge
Aurora shooting
Sandy Hook
Lizzie Borden
Saddam Hussein
Heaven’s Gate Cult
Baba Yaga
the Holocaust
Balkan Genocide
the list goes on…
Write an 8 to 9 page research paper in which you are the expert on this monster/monstrosity. Both your paper and your expert presentation will reflect the biography/origin; timeline of actions/atrocities; cultural/societal impact; how this subject is depicted/sensationalized through various writings/the media (stories, biographies, scholarly articles, comics, graphic novels, poems, movies, interviews, folklore/fairy tails, television shows, et cetera); and why this monster/monstrosity has meaning to you. The paper must also include
7-8 annotated bibliography entries (I have attatched a document to show what it is).
Jamal Sampson's paper has to focus on the two monsters listed:
Saddam Hussein
Osama Bin Laden
.
Project 1 Interview Essay Conduct a brief interview with an Asian.docxdessiechisomjj4
Project 1: Interview Essay
Conduct a brief interview with an Asian immigrant to ask about their immigration story and push-pull factors. This can last 5-15 minutes. Then, write a 2 paragraphs on the DB.
You do
not
have to include the person’s real name! Immigration status is a sensitive topic, so please understand if someone does not want to be interviewed. Students have interviewed friends, family members, people in their community, and other students.
Project 1: Prompt
1.
Brief facts:
Around what age did they immigrate? How old are they now (in my 30s is acceptable)? What push-pull factors led them to immigrate to the U.S.? (You may have to explain what push-pull factors are.)
2. Add your own comments/perspective and perhaps even your own immigration story. What aspects of their story did you find interesting or surprising? What aspects were familiar to you?
Example:
I conducted a 10 minute interview with my neighbor "Dr. Villanueva" who immigrated to the U.S. over 45 years ago at the age of 26. I asked him about his push and pull factors. What reasons did he have for leaving his home country and why did he choose the U.S. as his new home? He stated that he wanted to leave the Philippines for a better life and more opportunities. He had grown up as the youngest of nine children and was very poor, but was able to study medicine and become a medical doctor specializing in ophthalmology. He heard that the U.S. was encouraging medical professionals to work there especially if they were fluent in English. According to our reading "Filipinos in America," (Lee 2015) the Philippines was a colony of the U.S. from 1898-1945 and English was taught in the education system (Lee, p. 90). Plus, many Filipinos then and still today dream about immigrating to the United States to improve their educational and financial opportunities. Dr. Villanueva came to the U.S. after the 1965 Immigration and Nationality Act abolished national quotas but limited immigration from Asia to educated professionals. When I asked if he felt that he experienced discrimination, Dr. Villanueva said yes, many times, but overall he is glad that he immigrated because his children had so many more opportunities in the U.S. Often, people still think that he is a foreigner or can't speak English. There have been a few occasions that people directed racial slurs at him, but he has not experienced any physical harm.
Dr. Villanueva seems to fit much of the data on Asian Americans that we studied in this class. However, I noticed some ways that he did not. For example, {etc....} Dr. Villanueva's story is much different than my grandparents' story who immigrated from __ and did not have college degrees when they arrived. [ADD YOUR PERSONAL REFLECTIONS ON THE INTERVIEW.]
.
Project 1 Scenario There is a Top Secret intelligence report.docxdessiechisomjj4
Project 1:
Scenario
: There is a Top Secret intelligence report that a terrorist organization based in the Middle East is planning to plant a dirty bomb in the inner harbor of major American city in the next 48 hours. The report has not been officially released or the classification reduced. You (the student) are the Chief of Police of this major metro city and do not have a security clearance at this time. The inner harbor is a major tourist attraction, a major shipping port and home to many international shipping companies, trade zones and military and federal government facilities.
You have heard the report exists but have not seen it. As the Police Chief of (you choose the city e.g. Baltimore, New York, Miami, Los Angeles, San Diego, Seattle etc) you have many questions about the report and many different agencies you will want to coordinate with. You will identify the real Homeland Security, LE and Intelligence organizations within the jurisdiction of the city you have chosen.
Requirement:
Write a minimum 1000 word paper (double space, 12 Font, New Times Roman) explaining how you would deal with this yet unseen report.
What actions would you take upon hearing of this report?
What Federal, state, local or government agencies would want to contact?
What questions would you want to ask about this report?
If it were true who would you want to share it with? Can you share it? What factors (e.g. legal, operational, public safety) might impede sharing this information?
Address
at least ten
of the concepts listed below within your paper:
Dissemination
Differentiate between intelligence and information
Intelligence products
Strategic versus tactical intelligence
Information sharing
Jurisdiction
Security classifications
Public safety
Intelligence roles
Federal versus local, state, and/or tribal
Target identification
Media/Hollywood portrayals
Database security/security of data
Value of intelligence
Domain awareness
Intelligence gap
Collection plans
Reliability, viability, and validity
Security clearances
.
Project #1 Personal Reflection (10)Consider an opinion that you .docxdessiechisomjj4
Project #1: Personal Reflection (10%)
Consider an opinion that you hold dearly. Write a brief reflection on the genealogy of your opinion. This can include personal experience, upbringing, social influence, media analysis, philosophy, anything that’s helped you form your opinion.
Purpose: I want you to start thinking about your process as a thinker. We can’t improve our processes in the future without understanding what we’ve done in the past.
Length: 1-3 pages
Format: MLA, 12 point Times New Roman font, 1 inch margins
.
Project 1 Chinese Dialect Exploration and InterviewYou will nee.docxdessiechisomjj4
Project 1: Chinese Dialect Exploration and Interview
You will need to cite references whenever you get the information from an article or from some online resources. In the written report, you need to include the following:
Title: An Exploration of [Dialect Name (spoken
where
)]
1.
Introduction
Introduce the geography of the dialect and which particular dialect variant you are focusing on. Give basic introduction about how many people are using this dialect and its current situation. Provide a map to indicate the dialectal grouping and the location of the speakers of the dialect.
2.
Linguistic Features of [Dialect Name (spoken
where
)]
Explore the following topics and introduce the
differences between this dialect and Standard Chinese (Mandarin)
in an organized and systematic way.
·
Syllable structure
·
Initial consonants
·
Finals (Rhymes)
·
Medials
·
Basic tones
·
Tone changes (optional: you get additional points if you explore this one)
·
Lexical or syntactic differences
To be able to do this section, you need to find resources online or from the library that reliably analyzed a dialect and systematically introduces this dialect or a dialect closely related to it. At the end of this linguistic description, summarize the speech features of speakers of this dialect when s/he uses Standard Chinese. What features do you expect a speaker of this dialect may carry into Standard Chinese? Are the differences going to be drastic enough to be detectable?
3.
Method:
In this section, you introduce the linguistic and social background of your interviewee(s).
1.
Informant Background:
Personal profile (gender, age, relevant linguistic and educational history, family background) [Have your interviewee fill out a linguistic background form provided by Prof. Lin]
2.
Setting (time and location of the interview, how was it documented?)
4.
Findings: Sociolinguistic aspect of the dialect according to the interview
You will present the interview results in an organized way. You should discuss the following issues related to the dialect:
·
What is the status of the particular dialect in relation to Mandarin? Discuss the issues related to diglossia (high versus low varieties). What are the social functions of the dialects? When do people use them and when do they not use them but opt for other languages and dialects? Compare the different uses of different dialects or speech variants.
·
Ask your interviewee his or her experiences with “accents”. How do people sound if they have accents? Do people using the dialects carry a special accent speaking Mandarin? How are people with accents perceived? Are there social stigma, attitudes, and identity issues associated with the dialect? How are people speaking this dialect usually perceived? Why do you think there are these social meanings that go with the accented speech?
·
How has this dialect changed in recent years, which may be associated with the above social political properties?
5.
Online.
Project 1 (1-2 pages)What are the employee workplace rights mand.docxdessiechisomjj4
Project 1 (1-2 pages)
What are the employee workplace rights mandated by U.S. Federal law?
Briefly discuss at least two controversial issues concerning workplace rights (other than monitoring e-mail). Provide real-life examples to illustrate your answer.
In addition, discuss the issue of workplace privacy. Specifically, do employees have the right to expect privacy in their e-mail conversations, or do companies have a right and/or responsibility to monitor e-mail?
Project 2 (1-2 pages)
Draft a performance action plan for a company to follow when providing discipline in response to complaints of sexual harassment. Use the Library or other Web resources if needed.
Please submit your assignment.
.
PROGRAM 1 Favorite Show!Write an HLA Assembly program that displa.docxdessiechisomjj4
PROGRAM 1: Favorite Show!
Write an HLA Assembly program that displays your favorite television show on screen in large letters. There should be no input, only output. For example, I really like The X-Files, so my output would look like this:
All this output should be generated by just five
stdout.put
statements.
.
Program must have these things Format currency, total pieces & e.docxdessiechisomjj4
Program must have these things
Format currency, total pieces & exit or ok button to go back; comments; tooltips;
Piecework C
Modify Piecework B to a multi-form project, adding a Splash form and a Summary form. Be sure to
retain your Piecework B program as you will need it later. Add a slogan and logo that the user can
display or hide independently, based on toggling and
displaying a checkmark in the menu choices; program
should start with slogan and logo being displayed and the
menu items checked. Add program version number, a
graphic, and an OK button to About box; About box should
display as modal. Splash should display project name,
programmer name, and a graphic. Change the Summary
data from a message box to its own form (also modal).
.
Professors Comments1) Only the three body paragraphs were require.docxdessiechisomjj4
Professors Comments:
1) Only the three body paragraphs were required. The introduction and the conclusion were not to be included in the Unit 6 paper. They should be saved for the Unit 8 paper when the thesis will be moved to the end of the introduction.
2) You paper is already over the length limit, so nothing else can be added. Some parts could be deleted, for example: "
Samimi and Jenatabadi (2014), point out that" and "
In another article, Sandbrook and Güven (2014) asserted that
." Those phrases add nothing to the paper and are distracting. You would have to explain who they are, so eliminate that phrase and others like it.
3) Keep in mind that your paper is not a literature review. It is an essay in which you are to explain your topic clearly and concisely. Also keep in mind that your topic is one that is difficult to understand and you are not writing for economists or for those with Ph.D.'s. Write in a manner that your average reader can comprehend. Explain concepts clearly in non-jargon type language. Clarity is your goal.
4) The Federal Reserve Bank information at the end of the introduction is not cited.
5) Bullet points should not be used in this paper. Everything should be integrated into the paragraphs using transitions.
6) Subtitles should not be used. This is a short paper, 2 - 2 1/2 pages double spaced, and they are not needed.
7) What does this mean: "
Globalization makes it possible for huge organizations to comprehend economies of scale
"?
8) Do not use the word "we."
9) Since you are discussing globalization, you must explain which country you are discussing. For example, when you say "federal policy," do you mean the United States?
My draft of paper:
Thesis statement:
Globalization has influenced practically every facet regarding today’s lifestyles.
Globalization
Globalization
refers to the action or process of global incorporation as a result of the interchange associated with world perspectives, goods, concepts, as well as other facets of tradition.
Improvements in transportation (like the steam train engine, steamship, aircraft engine, as well as container ships) in addition to telecommunications infrastructure (such as the development of the telegraph along with its contemporary progeny, the world wide web as well as cellular phones) happen to be significant aspects of globalization. Therefore, it creates new interdependence associated with monetary as well as social functions.
Samimi and Jenatabadi (2014), point out that a
lthough a lot of scholars place the beginnings connected with globalization within contemporary days. Some trace its heritage a long time before the Western Age regarding Discovery as well as voyages towards the New World, others even to the 3rd centuries BC
(Samimi, & Jenatabadi, 2014)
.
Large-scale globalization started out in the 1820s. Back in the Nineteenth millennium as well as in the
early
Twentieth century, the connection of the globe's financial system.
Program EssayPlease answer essay prompt in a separate 1-page file..docxdessiechisomjj4
Program Essay
Please answer essay prompt in a separate 1-page file. Responses should be double-spaced, 11 point font or greater with 1-inch margins.
Based on what you’ve learned about the NYU communicative sciences and disorders master’s program through your application process, please name two faculty members whose research or fieldwork you are most interested in and why.
Ist
• Voice and Voice Disorders
• Neurogenic Communicative Disorders
• Dysphagia
Professor Celia Stewart is a tenured Associate Professor in the Department of Communicative Sciences and Disorders at NYU: Steinhardt School of Culture, Education, and Human Development. She provides classes in Voice Disorders, Interdisciplinary Habilitation of the Speaking Voice, Multicultural and Professional Issues, and Motor Speech Disorders. She maintains a small private practice that specializes in care of the professional voice, transgender voice modification, neurogenic voice disorders, and dysphagia. She has published in the areas of spasmodic dysphonia, transgender voice, dysphagia, Parkinson’s disease, and Huntington’s disease.
2nd
• Perception of linguistic and talker information in speech
• Relationship between talker processing, working memory, and linguistic processing
• Development of talker processing in children with both typical and impaired language development.
Susannah Levi is an Associate Professor in the Department of Communicative Sciences and Disorders. She examines how information about a speaker affects language processing. Her past research has looked at whether people sound the same when speaking different languages and whether being familiar with a speaker’s voice in one language, helps a listener understand that speaker in a different language. Her current work expands on this to examine whether children, like adults, also show a processing benefit when listening to familiar talkers. She is also exploring whether language processing can be improved for children with language disorders using speaker familiarity.
Dr. Levi received her doctorate from the Department of Linguistics at the University of Washington, completed a postdoctoral research position in the Department of Brain and Psychological Sciences at Indiana University. Prior to coming to NYU, she taught at the University of Michigan. She is currently the Director of the Undergraduate Program in the Department of Communicative Sciences and Disorders.
.
Program Computing Project 4 builds upon CP3 to develop a program to .docxdessiechisomjj4
Program Computing Project 4 builds upon CP3 to develop a program to perform truss analysis. A truss consists of straight, slender bars pinned together at their end points. Truss members are considered to be two force, axial members. Thus, the force caused by each truss member - and the internal force in each member - acts only along it’s axis. In other words, the direction of each member force is known and only the magnitudes must be determined. To analyze a truss we study the forces acting at each individual pin joint. This is known as the Method of Joints. We will call each pin joint a node and the slender bars connecting the nodes will be called members. The previous project computed a unit vector to describe the vector direction of every member of a truss structure. To analyze the structure a few other key inputs must be included like the support reactions and external loads applied to the structure. With all of this information, you will need to make the correct changes to the provided planar (2-D) truss template program to be able to analyze a space (3-D) truss. What you need to do For a planar truss, every node has 2 degrees of freedom, the e1 and e2 directions. Therefore, for every planar truss problem, the total number of degrees of freedom (DOF) in the structure is equal to 2 times the number of nodes. We will consider the first degree of freedom for each node as the component acting in the e1 direction. So for any given node, i, the corresponding degree of freedom is (2·i)-1. For the same node, i, the corresponding value for the second degree of freedom, the component in the e2 direction, is 2-i. This numbering notation can be modified for a space truss. The difference with the space truss is that every node has 3 degrees of freedom, one degree for each of the e1, e2 and e3 directions. The degree of freedom indices are extremely crucial in understanding how to set up the matrices for the truss analysis. For this computing project, you will first need to understand the planar truss program and the inputs that are needed for that program. The first input is the spatial coordinates (x, y, z) of the nodal locations for a truss. It is convenient to label each node with a unique number (also known as the “node number”). Each row of the nodal coordinate array should contain the x and y coordinates of the node. We will use the matrix name of “x” for all nodal coordinates. Please note that “nNode” is an integer value that corresponds to the number of nodes in the truss and must be adjusted for every new truss problem. For Node 1 this matrix array input looks like: x(1,:) = [0,0]; Once the coordinates of the nodes are in the program, you will need to input how those nodes are connected by the members of the truss. In order to describe how the members connect the nodes you will also need to label each member with a “member number”. This connectivity array should contain only the nodes that are joined by a member, with each row containing firs.
Project 1 Resource Research and ReviewNo directly quoted material.docxdessiechisomjj4
Project 1: Resource Research and Review
No directly quoted material may be used in this project paper. Resources should be summarized or paraphrased with appropriate in-text and Resource page citations.
Project 1 is designed to help prepare you for the final project at the end of the semester. You will notice that, for your final project in this course, you will be asked to trace a crime or criminal incident through the adult criminal justice system, from initial arrest to the eventual return to the community following incarceration. As you work on the final project, you will encounter numerous decision points or stages in the system. Project 1 will assist you in preparing for your final project by introducing you to topic research. You may then use the results of this project to support your final project paper.
Project 1 Assignment:
Using the designated topic listed below (see, Topics), you will search the UMUC Library Services databases and the Internet for resource material that explains, clarifies, critiques, etc. the topic.
1. Your Resource Research and Review project must contain four (4) outside sources (not instructional material for this course), at least two of which must come from the UMUC Library data base.
2. Locate books, periodicals, and documents that may contain useful information and ideas on your topic. You may conduct your research with the assistance of a UMUC librarian, reviewing your own personal materials on the topic, using the Internet, visiting an actual library, etc. and reviewing the available items. Then, choose those works that provide a variety of perspectives on your topic.
Note: You can connect to Library Services by using the Library link under RESOURCES in the Classroom task bar, or link directly to the UMUC Library Guide to Criminal Justice Resources link in CONTENT
3. Type the reference “citation” information for the book, article, or document using the American Psychological Association (APA) formatting standards. (There are links to APA format standards under Library Services.)
4. Each reference is to be followed by the annotation. The purpose of the annotation is to inform the reader of the relevance, accuracy, and quality of the sources cited. Creating an annotated bibliography calls for a variety of intellectual skills: concise exposition, succinct analysis, and informed library research.
5. Write a concise annotation (150 words) for each reference that summarizes the central theme and scope of the book, article, or document. This must include:
a) briefly, in your own words, describe the content of the article
b) compares or contrasts the work with at least one other article in your research review
The topic: Issues with evidence (DNA, eyewitness testimonies, direct vs. circumstantial, etc.)
Format
The project paper should begin with an introductory paragraph and end with a concluding paragraph
Each annotation should contain approximately 150 words
Double space, 12 pt. font, 1” margins
Cover pa.
Professionalism Assignment I would like for you to put together yo.docxdessiechisomjj4
Professionalism Assignment
I would like for you to put together your current resume or update one that you have previously created. Refer to the attached curriculum vitae as an example to assist with the completion of this assignment. A curriculum vitae, or CV, is typically a longer version of a resume which includes conference and journal publications, research, and awards. CVs are usually 2-3 pages, compared to a resume which should usually be limited to a single page. Since most of you will not have publication or conference presentations at this point in your academic career, please leave that section out and submit a more traditional single page resume.
Education
M.S. Electrical and Computer Engineering, 2012
University of Louisville, Louisville, KY
B.S. Electrical Engineering, 2008
Western Kentucky University, Bowling Green, KY
Experience
Engineering Technician, 2014-Current
Engineering, Manufacturing, and Commercialization Center
Applied Physics Institute
Western Kentucky University
Instructor, 2014 - Current
Electrical Engineering Program
Department of Engineering
Western Kentucky University
Grosscurth PhD Fellow, 2012-2014
Department of Electrical and Computer Engineering
J.B. Speed School of Engineering
University of Louisville
Graduate Research Assistant, 2011-2012
Department of Electrical and Computer Engineering
J.B. Speed School of Engineering
University of Louisville
Electrical Engineer, 2009-2012
Applied Physics Institute
Western Kentucky University
Research Associate, 2008-2009
Applied Physics Institute
Western Kentucky University
Research Assistant, 2005-2008
Applied Physics Institute
Western Kentucky University
Publications
Craig Dickson, Stuart Foster,
Kyle Moss
, Anoop Paidipally, Jonathan Quiton, William Ray, and Phillip Womble,
Stochastic Modeling for Automatic Response Technology with Applications to Climate and Energy,
at the 8
th
Kentucky Entrepreneurship and Innovation Conference, Louisville, KY, June 2012
Jeffrey L. Hieb, James H. Graham, Nathan Armentrout, and
Kyle Moss
,
Security Pre-Processor for Industrial Control Systems,
at the 8
th
Kentucky Entrepreneurship and Innovation Conference, Louisville, KY, June 2012
Jeffery Hieb, James Graham, Jacob Schreiver,
Kyle Moss,
Security Preprocessor for Industrial Control Networks,
at the 7
th
International Conference on Information-Warfare and Security, Seattle, Washington, March 2012
Kyle Moss,
Phillip Womble, Alexander Barzilov, Jon Paschal, Jeremy Board,
Wireless Orthogonal Sensor Networks for Homeland Security
at 2007 IEEE Conference on Technologies for Homeland Security, Woburn, MA, May 2007
Barzilov, P. Womble, I. Novikov, J. Paschal, Jeremy Board, and
Kyle Moss
,
Network of Wireless Gamma Ray Sensors for Radiological Detection and Identification
at the SPIE Defense and Security Symposium, Orlando, FL, April 2007
Alexander Barzilov, Jeremy Board, .
Professor Drebins Executive MBA students were recently discussing t.docxdessiechisomjj4
Professor Drebin's Executive MBA students were recently discussing the benefits of a chart of accounts. Following is a transcript of the discussion. Most of the comments were correct, but two students were off base. Assume the role of Professor Drebin, and identify the two students whose statements are incorrect. Record your answer in Blackboard.
.
Professional Legal Issues with Medical and Nursing Professionals .docxdessiechisomjj4
"Professional Legal Issues with Medical and Nursing Professionals" Please respond to the following:
* From the scenario, analyze the different and overlapping general roles of physicians and nurses as they apply to professional credentialing and subsequent patient safety and satisfaction. Determine the major ways in which these overlapping roles may help play a part in health professional credentialing processes and conduct, and identify and analyze the ethical role these influences play in health care.
Analyze the major professional roles played by physicians and nurses as they apply to physicians’ conduct in the medical arena and to nurses in the role of adjuncts to physicians. Evaluate the degree and quality of care that physicians, nurses, and medical technologists provide in their primary roles, including, but not limited to, patient safety and satisfaction as required in 21st Century U.S. hospitals.
.
Prof Washington, ScenarioHere is another assignment I need help wi.docxdessiechisomjj4
Prof Washington, Scenario
Here is another assignment I need help with. I know the scenario is the same as before but now we need to come up with the project management plan. The Scenario is
You have been asked to be the project manager for the development of an information technology (IT) project. The system to be developed will allow a large company to coordinate and maintain records of the professional development of its employees. The company has over 30,000 employees who are located in four sites: Florida, Colorado, Illinois, and Texas. The system needs to allow employees to locate and schedule professional development activities that are relevant to their positions. Sophisticated search capabilities are required, and the ability to add scheduled events to the employees’ calendars is desired. The system needs to support social networking to allow employees to determine who is attending conferences and events. This will promote fostering relationships and ensure coverage of conferences that are considered of high importance.
Once an activity has been completed, employees will use the system to submit the documentation. The system should support notifications to management personnel whenever their direct reports have submitted documentation. The system should also notify employees if their deadline to complete professional development requirements is approaching and is not yet satisfied.
Project Scope Management Plan
For the given scenario, create a project scope management plan that will detail how the project scope will be defined, managed, and controlled to prevent scope creep. The plan may also include how the scope will be communicated to all stakeholders.
Project Scope
After you have the project scope management plan developed, define the project scope.
.
Prof James Kelvin onlyIts just this one and simple question 1.docxdessiechisomjj4
Prof James Kelvin only
It's just this one and simple question
1. This week we begin focusing on PowerPoint. When you create a PowerPoint presentation, there are many elements included such as: theme, transitions, images, font, color, content layout, etc. List and explain four guidelines you learned about how to create a successful PowerPoint presentation. Additionally, describe some common mistakes that are made when PowerPoint presentations are created.
.
Product life cycle for album and single . sales vs time ( 2 pa.docxdessiechisomjj4
Product life cycle for album and single .
sales vs time ( 2 pages not less with chart for each album and singles
Album
introduction,
growth
, maturity
, decline .
Singles
introduction,
growth
, maturity
, decline
.
Produce the following components as the final draft of your health p.docxdessiechisomjj4
Produce the following components as the final draft of your health promotion program written proposal;
1. Introduction to the Program project.
2. Epidemiological and Needs Assessments Summary
3. Risk Factors, Goals, Objectives and Educational Plans
4. Marketing Plans and Proposed Budget
5. Evaluation Plans
6. Leadership Needs and Collaborative Strategies
.
Produce a preparedness proposal the will recommend specific steps th.docxdessiechisomjj4
Produce a preparedness proposal the will recommend specific steps that could potentially reduce (mitigate) the loss of life and property resulting from you climate impact or natural hazard. The proposal should target a specific person, agency, municipality or organization responsible for emergency mitigation efforts. Seven sections should be labelled as indicated in bold and address the following:
Specifically Identify and state who is the intended audience for your proposal (Target audience)
Identify and describe the climate impact or natural hazard (Hazard)
Identify and explain the risk associated with your specific geographic location (Location)
Describe the atmospheric and geologic conditions or processes that give rise to the impact or hazard (Earth processes)
Describe ways in which human and environmental processes contribute to the impact or hazard (Human processes)
Discuss past impact/hazard events and mitigation or communication policies and their effectiveness (Past events/policies)
Recommend ethically and socially responsible ways to improve current mitigation and communication policies (Proposal)
Make sure and answer according to the bolded labels (Target audience, Hazard, etc.) Responses should be brief, except for your Proposal recommendation. If you have completed the Milestones as directed the majority of this information should already exist!
1. The preparedness proposal should focus on COMMUNICATING the science information to the target audience
2. The proposal MUST include at least two data sources supporting your recommendations and be represented in a graphical format
3. The proposal must be double spaced, size 12 font
4. The proposal must list references/citations where appropriate
1.5-2page.
China Gansu
mudslides. Read mileston I write fist. here will have the information you need use in that paper.
.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Digital Tools and AI for Teaching Learning and Research
Statistics What you Need to KnowIntroductionOften, when peop.docx
1. Statistics: What you Need to Know
Introduction
Often, when people begin a statistics course, they worry about
doing advanced mathematics or their math phobias kick in.
Understanding that statistics as addressed in this course is not a
math course at all is important. The only math you will do is
addition, subtraction, multiplication, and division. In these days
of computer capability, you generally don't even have to do that
much, since Excel is set up to do basic statistics for you. The
key elements for the student in this course is to understand the
various types of statistics, what their requirements are, what
they do, and how you can use and interpret the results.
Referring back to the basic components of a valid research
study, which statistic a researcher uses depends on several
things:
The research question itself
The sample size
The type of data you have collected
The type of statistic called for by the design
All quantitative studies require a data set. Qualitative studies
may use a data set or may use observations with no numerical
data at all. For the purposes of the next modules, our focus will
be on quantitative studies.
Types of Statistics
There are several types of statistics available to the researcher.
Descriptive statistics provide a basic description of the data set.
This includes the measures of central tendency: means, medians,
and modes, and the measures of dispersion, including variances
and standard deviations. Descriptive statistics also include the
sample size, or "N", and the frequency with which each data
point occurs in the data set.
Inferential statistics allow the researcher to make predictions,
estimations, and generalizations about the data set, the sample,
and the population from which the sample was drawn. They
2. allow you to draw inferences, generalizations, and possibilities
regarding the relationship between the independent variable and
the dependent variable to indicate how those inferences answer
the research question. Researchers can make predictions and
estimations about how the results will fit the overall population.
Statistics can also be described in terms of the types of data
they can analyze. Non-parametric statistics can be used with
nominal or ordinal data, while parametric statistics can be used
with interval and ratio data types.
Types of Data
There are four types of data that a researcher may collect.
Nominal Data Sets
The Nominal data set includes simple classifications of data
into categories which are all of equal weight and value.
Examples of categories that are equal to each other include
gender (male, female), state of birth (Arizona, Wyoming, etc.),
membership in a group (yes, no). Each of these categories is
equivalent to the other, without value judgments.
Ordinal Data Sets
Ordinal data sets also have data classified into categories, but
these categories have some form or order or ranking attached,
often of some sort of value / value perception. Examples include
rankings of poor, fair, good, excellent, very satisfied to very
dissatisfied, etc. While the categories may be rank ordered,
there are not equal intervals between the categories. The
difference between poor and fair is not necessarily the same
difference between good and excellent, for example.
Interval Data Sets
Interval data sets have equal intervals between the units of
measure, although they lack a true zero. For example, test
scores of 50 and 60 have the same interval between them as test
scores of 70 and 80. Degrees of body fever have the same
difference between a temperature of 97.5 and 98.5 as between a
temperature of 99 and 100. However, the body does not reach a
true zero temperature. IQ scores have the same interval between
75 and 100 as they do between 100 and 125.
3. Ratio Data Sets
Ratio data sets have equal intervals, and a true zero to the scale.
Examples include water temperatures when the temperature of
the water has the same interval between 20 and 25 degrees as
between 30 and 35 degrees, with a true zero at the point water
freezes solid (in Celsius; Fahrenheit is 32 degrees above
Fahrenheit "0"). Another example may be the level of a certain
drug in the blood stream. There is a true zero, and the level of
drug at 100 mcg/cc is exactly double the level of drug at 50
mcg/cc.
A Review of Data Sets:
Nominal − Data into categories with equal weight and value
Ordinal − Data into categories with rank ordering
Interval − Data with equal intervals between all data points, but
no true zero
Ratio − Data with equal intervals between all data points, plus a
true zero on the scale
Knowing what data type is being used in a statistical analysis is
important because all data types cannot be used by all statistics.
As noted above in Types of Statistics, nominal and ordinal data
can be analyzed with non-parametric statistics, while interval
and ratio data can be analyzed by parametric statistics. As a rule
of thumb, you should use the highest statistic your data set will
allow to extract as much information as possible.
Choosing the Right Statistics
In order to select the appropriate statistic for a research study,
start with the basics.
What Does the Research Question Ask?
If you are comparing one data set to another or one group to
another, use a method of description to see if they are alike. If
you are asking if one group is different from another in a
meaningful way, use methods of inference. For example, let's
say you have two samples of staff intention to stay on their
jobs. In the first sample, the staff has received a raise. In the
second, they have not. The samples are described as follows:
Sample 1 − mean score of 95, standard deviation + or − 4, range
4. of scores 91-99 (meaning a likelihood they will stay)
Sample 2 − mean score of 80, standard deviation + or − 16,
range of scores 64-96 (meaning a lower, and wider ranging,
likelihood of staying)
If you are asked just to compare the two data samples, you use
the data to say that the mean score in Sample 1 shows higher
intent to stay on the job than the mean score in Sample 2. Also,
the standard deviation shows that there is more consistency in
the scores in Sample 1 (smaller deviation) than in Sample 2
(larger deviation). These are methods of description from which
you can draw some conclusions. You can answer the question:
what do the data sets look like? However, if you are asked to
determine whether Sample 1 is significantly higher than Sample
2 in intention to stay on their jobs, you would need to use
statistics such as a t-test or ANOVA (analysis of variance) to
determine whether the difference is statistically significant. If
you had been asked to determine whether it was likely that the
raise contributed to the differences in intention to stay on the
job, you would also need to use an inferential statistic, such as
t-test or ANOVA, which enabled you to draw that inference. So,
if the research question asks what a data set looks like, you can
use the descriptive statistics. If you want to know what the
variables listed are inferring, you must use the inferential
statistics, as well.
What Type of Data is Used?
Again, nominal and ordinal data can be analyzed with non-
parametric statistics, while interval and ratio data can be
analyzed by parametric statistics. The key data type is in the
dependent variable. If you have interval or ratio data in the
dependent variable, you can use parametric statistics for your
analysis.
In order to help you review studies in terms of their selection of
statistics, refer to the following chart:
Using Statistical Assessment
Statistic
Data Type
5. Sample Size
Research Question
Mean and Standard Deviation
Interval or ratio
>2
What does the data set look like?
Frequency Distribution
Nominal-Ratio
>2
What does the data set look like?
Chi-Square
Nominal-Ordinal
>4
Is the variance of one variable equal to or different from
another variable
Correlation Coefficient
Interval-Ratio
>4
What is the relationship between two variables?
t-Test
Interval-Ratio
<30
Is there a significant difference between two groups? May be
intrinsic or may be experimental
ANOVA (Analysis of Variance)
Interval-Ratio
>30
Is there a significant difference between 2 or more groups?
Regression Analysis
Interval-Ratio
>30
How much of the change in the dependent variable is predicted
by the independent variable or variables?
Statistical Significance
The concept of statistical significance is a part of inferential
statistics. When you are looking for differences or changes in
6. data sets as a result of the impact of an independent variable,
you need to be able to determine if the changes are significant
or resulting from random chance. Statistical significance
answers the question: What is the probability that the results
seen in this study are due to the effects of the independent
variable on the dependent variable rather than random chance?
Significance is also expressed as Type I Error, which is the
possibility of rejecting a true finding as false. It is depicted in
statistics as an alpha character (Greek), or "α." It can also be
expressed as p<0.05. The level at which alpha is set will tell
you that the probability of the finding being attributable to
chance itself is less than (<) 0.05%. Other common settings for
the alpha include 0.01% or even 0.001%. Most studies require at
least an alpha of 0.05% in order for the results to be deemed
significant.
Referring to the research study in Coyne et al (Coyne, Richards,
Short, Shultz, and Singh, 2009) on hospital cost and efficiency
and the effects of hospital size and ownership, the research
question asked if size and ownership type made a difference in
the efficiency and cost results of hospitals in the State of
Washington. The sample size was 100 hospitals. The dependent
variables, efficiency and cost measures, used numbers with a
true zero (cost, occupancy, revenue, etc) so that the data would
be classified as a ratio. The independent variables were hospital
size and ownership type, which could be classified as ordinal
for size (small, medium, large) and nominal for ownership type
(not for profit; government owned). The statistic selected was
an ANOVA (good choice), and the statistical significance was
set as 0.05% alpha. Read the results on page 168, Table 3, to
determine which results were significant, or less than 0.05%.
Note that bed size made a significant difference in two of the
efficiency ratios and two of the cost ratios. Also note which
ownership affected one of the efficiency ratios and two of the
cost ratios. The interaction of the two independent variables
affected two of the efficiency ratios.
Conclusion
7. Picking the correct statistic to answer the research question, fit
the sample size, and fit the data types is an essential element of
a useful and valid research study. When these are correctly
done, the results and their statistical significance can give you a
better sense of elements you want to translate into evidence-
based practice based on solid research.
References
"Hospital Cost and Efficiency: Do Hospital Size and Ownership
Really Matter?" by Coyne, Richards, Short, Shultz, and Singh,
from the Journal of Healthcare Management (2009), located in
the GCU eLibrary at
http://library.gcu.edu:2048/login?url=http://proquest.umi.com.li
brary.gcu.edu:2048/pqdweb?did=1752526591&sid=1&Fmt=4&c
lientId=48377&RQT=309&VName=PQD
Statistical Assessment
Use the chart in the Module 4 lecture to complete the table
below to assess the appropriateness of the statistics used, and
determine the statistical significance of outcomes in Messina’s,
et al., article “The Relationship Between Patient Satisfaction
and Inpatient Admissions Across Teaching and Nonteaching
Hospitals” . Refer specifically to the discussion on pages 189-
90 of the article.
Messina, D., Scotti, D., Ganey, R., Zipp, G., & Mathis, L.
(2009). The Relationship Between Patient Satisfaction and
Inpatient Admissions Across Teaching and Nonteaching
Hospitals. Journal of Healthcare Management, 54(3), 177-89,
discussion 189-90. Retrieved from
http://library.gcu.edu:2048/login?url=http://proquest.umi.com.li
brary.gcu.edu:2048/pqdweb?did=1752526601&sid=1&Fmt=4&c
lientId=48377&RQT=309&VName=PQD
8. Statistic
Data type
Sample Size
Research Question
Statistical Significance:
There were three errors in Table 4 on page 185. In your
identification of significant findings, can/did you find them?
9. The chart from the Module 4 Readings:
Statistic
Data Type
Sample Size
Research Question
Mean and Standard Deviation
Interval or ratio
>2
What does the data set look like?
Frequency Distribution
Nominal-Ratio
>2
What does the data set look like?
Chi-Square
Nominal-Ordinal
>4
Is the variance of one variable equal to or different from
another variable
Correlation Coefficient
Interval-Ratio
>4
What is the relationship between two variables?
t-Test
Interval-Ratio
<30
Is there a significant difference between two groups? May be
intrinsic or may be experimental
ANOVA (Analysis of Variance)
Interval-Ratio
>30
Is there a significant difference between 2 or more groups?
Regression Analysis
Interval-Ratio
>30
How much of the change in the dependent variable is predicted