An infinite population has a standard deviation of 10. A random s.docx
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An infinite population has a standard deviation of 10. A random sample of 100 items from this population is selected. The sample mean is determined to be 60. At 98% confidence, the margin of error is 1.28 1.645 1.96 2.33 None of the above The z value for a 90% confidence interval estimation is 1.28 1.645 1.96 2.33 2.576 The t value for a 90% confidence interval estimation with 24 degrees of freedom (not the sample size n) is 1.317836 1.710882 2.063899 2.492159 2.796939 A random sample of 144 observations has a mean of 20, a median of 21, and a mode of 22. The population standard deviation is known to equal 3.6. The 90% confidence interval for the population mean is 19.62 to 20.38 19.51 to 20.49 19.41 to 20.59 19.30 to 20.70 A random sample of 144 observations has a mean of 20, a median of 21, and a mode of 22, and a standard deviation of 3.6.. The 90% confidence interval for the population mean is 19.60 to 20.40 19.48 to 20.52 19.33 to 20.67 18.20 to 20.80 A random sample of 64 students at a university showed an average age of 20 years and a sample standard deviation of 4 years. The 90% confidence interval for the true average age of all students in the university is 19.58 to 20.42 19.35 to 20.65 19.15 to 20.85 19.00 to 21.00 The following random sample from a population whose values were normally distributed was collected. 10 15 11 12 The 95% confidence interval for μ is 11.00 to 13.00 10.23 to 13.77 9.46 to 14.54 8.56 to 15.44 For a two-tailed Z-test at a 0.05 level of significance; the table (critical) value -1.96 and 1.96 -1.645 and 1.645 -2.33 and 2.33 -2.575 and 2.575 For a one-tailed Z-test at a 0.10 level of significance; the table (critical) value -1.96 and 1.96 -1.645 and 1.645 -1.28 and 1.28 -2.575 and 2.575 n = 36 H0: 20 = 22 Ha: > 20 = 12 The test statistic equals 1.30 1.00 -1.30 1.50 n = 36 H0: ≥ 20 = 18 Ha: < 20 = 6 The p-value equals 0.1587 0.0668 0.0228 0.0107 n = 36 H0: ≥20 = 18 Ha: < 20 = 12 If the test is done at a .05 level of significance, the null hypothesis should not be rejected be rejected Not enough information is given to answer this question. None of the other answers are correct. n = 9 H0: = 50 = 48 Ha: 50 s = 3 Assume data are from normal population The p-value is equal to 0.0171 0.0805 0.2705 0.2304 n = 36 H0: 20 = 22 Ha: > 20 s = 6 The p-value equals 0.0267 0.0403 0.1621 0.1733 = 36 H0: μ ≥ 20 = 18 Ha: μ < 20 s = 6 If the test is done at a .05 level of significance, the null hypothesis should not be rejected be rejected Not enough information is given to answer this question. None of the other answers are correct. n = 9 H0: = 50 = 53 Ha: 50 = 3 Assume data are from normal population The p-value is equal to 0.0455 0.0027 .
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Now we compute the interval estimate using:
2
2
2
2
2 )1()1(
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snsn
where
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2
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2
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deviation was computed to be 360. Based on this sample result, compute a 95% confidence interval
estimate for the true population standard deviation.
No statistical method exists for developing a confidence interval estimate for a population standard deviation
directly. Instead we must first convert to variances. This, we get a sample variance equal to
22360129,600s
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2
2
2
2
2 )1()1(
LU
snsn
where
s
= sample variance
n = sample size
2
L = Lower Critical Value
2
U = Upper Critical Value
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which the sample size is n = 20 and the desired confidence level is 95%, from the chi-square table in Appendix
G we get the critical value
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9065.82 975.0
2 L
Now given that the sample variance computed from the sample of n = 20 values is
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deviation as the interval 273.78 to 525.81.
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H0: ¬
2
= 100
HA: ¬
2 100
2
a) Test when n=27, s=9, and =0.10; state the decision rule.
b) Test when n=17, s=6, and =0.05; state the decision rule.
a)
H0:
2 = 100, HA:
2 100
This is a two‐tailed test.
The random sample consists of n = 27 observations. The sample variance is s
2
= 9
2
= 81. The test statistic is
2
2
2
( 1) (27 1)81
100
n s
= 21.06
Because
2 2
0.05
21.06 38.8851 and because 2 2
0.95
21.06 15.3792 do not reject the null hypothesis
based on these sample data.
Based on the sample data and the hypothesis test conducted we do not reject the null hypothesis at the α =
0.10 level of significance and we conclude the population variance is not different from 100.
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H0:
2 = 100, HA:
2 100
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The random sample consists of n = 17 observations. The sample variance is s
2
= 6
2
= 36. The test statistic is
2
2
2
( 1) (17 1)36
100
n s
= 5.76.
Because 9077.676.5 2
975.0
2 we reject the null hypothesis.
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1.Relative Dispersion
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Calculation of Range by different Methods.
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Calculation of Quartile Range by different Methods.
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The document discusses hypothesis testing and various statistical tests. It begins by explaining the normal distribution and its key properties. It then defines hypothesis testing and the different types of hypotheses - the null and alternative hypotheses. It discusses the concepts of type 1 and type 2 errors. Several examples are provided to illustrate hypothesis testing for the mean when the population variance is known and unknown, for a proportion, and for comparing two population means. Key formulas are also presented for the z-test, t-test, chi-squared test and test for comparing two means.
The standard normal curve & its application in biomedical sciences
1) The document discusses the normal distribution and its applications in statistical inference. It is the most important probability distribution used to model many continuous variables in biomedical fields.
2) The normal distribution is characterized by its mean and standard deviation. It is perfectly symmetrical and bell-shaped. Properties of the normal curve include that about 68%, 95%, and 99.7% of the data lies within 1, 2, and 3 standard deviations of the mean, respectively.
3) The standard normal distribution is used to convert raw scores to z-scores in order to compare variables measured on different scales. Z-scores indicate how many standard deviations a score is above or below the mean and can be used to determine probabilities, percentiles
Measures of Dispersion: Standard Deviation and Co- efficient of Variation
This document discusses measures of dispersion, specifically standard deviation and coefficient of variation. It begins by defining standard deviation as a measure of how spread out numbers are from the mean. It then provides the formula for calculating standard deviation and discusses its properties. Several examples are shown to demonstrate calculating standard deviation for individual data series using both the direct and shortcut methods. The document also discusses calculating standard deviation for discrete and continuous data series. It concludes by defining variance and coefficient of variation, and providing an example to calculate coefficient of variation and determine which of two company's share prices is more stable.
Statistics assignment
This document discusses classification, tabulation, arithmetic mean, binomial distribution, hypothesis testing using z-test, and chi-square test. It provides definitions and explanations of these statistical concepts. Classification involves arranging data into groups based on similarities, while tabulation logically lists classified data in rows and columns. The document also gives examples of calculating arithmetic mean, binomial probabilities, a z-test to compare a proportion to a hypothesized value, and conditions for applying the chi-square test.
Unit 4 lesson 2
This document discusses the single sample t-test, which is used to determine if the mean of a sample is statistically significantly different from the population mean. It explains how to calculate the t-statistic and compare it to the critical t-value based on the confidence level and degrees of freedom. Examples are provided to demonstrate comparing sample means to population means and determining whether to reject or fail to reject the null hypothesis that the means are equal. Factors that influence the t-calculation are also outlined.
Errors2
This document discusses error analysis in experimental measurements. It covers two types of errors - systematic errors which affect accuracy, and random errors which affect precision. Random errors follow a Gaussian distribution, and the mean and standard deviation are used to characterize these errors. Taking more measurements reduces random errors according to the central limit theorem. The document also discusses combining measurements and calculating a weighted mean to obtain the best estimate while accounting for differences in measurement precision.
Estimating a Population Standard Deviation or Variance
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Chapter 7: Estimating Parameters and Determining Sample Sizes
7.3: Estimating a Population Standard Deviation or Variance
Estimating a Population Standard Deviation or Variance
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Chapter 7: Estimating Parameters and Determining Sample Sizes
7.3: Estimating a Population Standard Deviation or Variance
Statistical methods and data analysis
The document discusses statistical concepts such as parameters, statistics, hypotheses testing, types of hypotheses and errors. It provides examples of hypotheses testing for single population means. The key points are:
- Statistics are values calculated from samples while parameters are from populations.
- Hypotheses testing involves defining null and alternative hypotheses, significance level, calculating test statistic and concluding whether to reject or fail to reject the null hypothesis.
- Examples demonstrate hypotheses testing for single means using z-test and t-test at various significance levels and determining the critical regions.
Estimating a Population Standard Deviation or Variance
This document discusses estimating parameters and determining sample sizes from populations. It covers estimating population proportions, means, standard deviations, and variances. For each parameter, it describes how to construct confidence intervals and determine the necessary sample size. Formulas are provided for margin of error, t-scores, z-scores and the chi-square distribution, which is used for estimating variances and standard deviations. Examples show how to apply the concepts to find confidence intervals and critical values for specific population problems.
Similar to An infinite population has a standard deviation of 10. A random s.docx (20)
Answers to Data Analysis and interpretation modified 2020 (2410) (1).ppt
Answers to Data Analysis and interpretation modified 2020 (2410) (1).ppt
Evaluating machine learning models and their diagnostic value
Evaluating machine learning models and their diagnostic value
The standard normal curve & its application in biomedical sciences
The standard normal curve & its application in biomedical sciences
Measures of Dispersion: Standard Deviation and Co- efficient of Variation
Measures of Dispersion: Standard Deviation and Co- efficient of Variation
Estimating a Population Standard Deviation or Variance
Estimating a Population Standard Deviation or Variance
Estimating a Population Standard Deviation or Variance
Estimating a Population Standard Deviation or Variance
Estimating a Population Standard Deviation or Variance
Estimating a Population Standard Deviation or Variance
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Analyze and describe how social media could influence each stage of the Customer Decision Journey for a customer deciding where to go for a special night out (may include dinner, a special activity, etc.). Please be specific and cover each stage. Use the modified customer decision journey not the traditional journey. Note that this is for social media not other forms of internet sites.
Please note: Grading Criteria and textbook notes for reference are attached.
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Analyze Delta Airlines, Inc public stock exchange NYSE- company’s profitability, liquidity, leverage and the common stock as an investment. The length of the paper should be 3 to 5 pages in APA format. Prepare a financial analysis on the company using public information such as the company’s annual report, SEC 10-Q and 10-K.
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ANALYTICS PLAN TO REDUCE CUSTOMER CHURN AT YORE BLENDS Himabin.docx
ANALYTICS PLAN TO REDUCE CUSTOMER CHURN AT YORE BLENDS
Himabindu Aratikatla
University of the Cumberland's
March 22, 2020
Introduction
Yore Blends (YB) is a fictional online company dedicated to selling subscription-based traditional spice blends coupled with additional complementary products.
Yore Blends (YB) aspire to growing through mergers and acquisitions.
To do this, they need a strong customer base and steady revenue.
Yore Blends is concerned with the rate of customer churn.
Company’s Problem
Yore Blends has been in existence for years.
Nonetheless, the company is considering to expand through mergers and acquisition.
However, they are experiencing customer churn.
A considerable percentage of its clients don’t purchase their goods anymore.
As a result, the company needs to reduce customer attrition by at least 16%.
Causes for Customer Churn
Poor customer care service:
The company minimized rather than maximizing client cost
Bad onboarding:
Yore Blends clients failed to get value for the purchased products.
Clients might have lost interest in the company’s products.
Many companies think of customer service as a cost to be minimized, rather than an investment to be maximized. Here’s the issue with that: if you think of support as a cost center, then it will be. That is, if you don’t prioritize support and work to deliver excellent service to your customers, then it’s only going to cost you money…and customers. A disproportionate amount of your customer churn will take place between (1) and (2).
That’s where customers abandon your product because they get lost, don’t understand something, don’t get value from the product, or simply lose interest.
Bad onboarding – the process by which you help a customer go from (1) to (2) – can crush your retention rate, and undo all of that hard work you did to get your customers to convert in the first place.
4
Causes for Customer Churn (Cont.)
Limited customer success:
Lack of updates regarding new products
Extended absence of the company-client communication
Natural Causes:
Customers may have grown out of the products.
May have resulted due to Vendor switches might
While onboarding gets your customer to their initial success, your job isn’t done there. Hundreds of variables – including changing needs, confusion about new features and product updates, extended absences from the product and competitor marketing – could lead your customers away. If your customers stop hearing from you, and you stop helping them get value from your product throughout their entire lifecycle, then you risk making that lifecycle much, much shorter. Furthermore, Not every customer that abandons you does so because you failed. Sometimes, customers go out of business. Sometimes, operational or staff changes lead to vendor switches. Sometimes, they simply outgrow your product or service. (Salloum, 2016)
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REASONS TO ANALYZE CUSTOMER CHURN
The company will be in a position to understand c.
Analytics, Data Science, and Artificial Intelligence, 11th Editi.docx
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ANALYTICS, DATA SCIENCE, &
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E L E V E N T H E D I T I O N
Ramesh Sharda
Oklahoma State University
Dursun Delen
Oklahoma State University
Efraim Turban
University of Hawaii
Microsoft and/or its respective suppliers make no representations about the suitability of the information
contained in the documents and related graphics published as part of the services for any purpose. All such
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Analytical Essay One, due Sunday, February 24th at 1100 pmTopic.docx
Analytical Essay One, due Sunday, February 24th at 11:00 pm
Topic A
In Unit 4, we claimed that empire-builders in the ancient world needed to "craft a type of multi-ethnic cohesion" – ways for people from different backgrounds to coexist under the umbrella of the empire – in order for their state to function (Video 4.1). On the other hand, we consider evidence discussed in Units 3 and 4 that the foundation of empire was the willingness of leaders to use violence to overwhelm their enemies.
In an essay of 600 to 1200 words, explore such evidence to make an argument about some of the ways people balanced political solutions to problems with war. In the end, you should persuade your reader, through your thoughtful analysis of the historical evidence, that empire-building in the ancient world transformed the ways that humans understood the role of violence in politics.
When organizing your ideas and drafting your essay, follow these guidelines:
1. Build your analysis using the course materials. The basis of your essay should be the primary source material found at the end of Unit 4 under “Unit 4 Resources.” By all means, take the ideas and evidence offered in the videos (and please note that we have provided transcripts of the videos as well.) This information will provide context for the primary resources.
*DO NOT base your observations on other evidence that you locate on the web or elsewhere. Remember, a big part of this essay is showing your mastery of the course material as assigned.*
2. After reviewing the material from Week 4, choose the two -- four examples from the primary sources that best allow you to make a persuasive case about the role of empire in the ancient world. While you want to show that you understand the larger trends in the material, take the time to explore in depth these specific examples.
3. When you refer to specific historical evidence (which should be something you do frequently throughout the essay), indicate, in parentheses, the location in the course materials of the evidence. An example of this is in the first sentence above.
4. Do not simply copy what we (or anyone else) have said. If you do, use quotation marks to indicate that the words were written by someone else and be sure to indicate your source for the quotation in parentheses. Plagiarism is a serious violation of GSU policy that leads to severe penalties!
5. To qualify for a grade in the C range, your essay must be at least 600 words (which is approximately 2 double-spaced pages, depending on the formatting of your document). B-range essays must be at least 900 words, and A-range essays must be at least 1200 words. However, meeting the word requirement does not mean that you will necessary receive a certain grade.
We will grade the essay out of 100 possible points according to these criteria:
Up to 30 points for the student's grasp of the larger historical context covered in the units
Up to 25 points for the appropriateness of the student's choi.
Analytical Essay Two, due Sunday, March 31st at 1100 pmTopi.docx
Analytical Essay Two, due Sunday, March 31st at 11:00 pm
Topic A
In Unit 9, we described some of the ways that the Silk Road facilitated both the spread of religion and the dispersal of commodities.
In an essay of 600 to 1200 words, explore the videos and the primary source evidence to make an argument about some of the ways the Silk Road created a form of (near) globalization. In the end, you should persuade your reader, through your thoughtful analysis of the historical evidence that succeeded in creating aspects of a common culture in throughout Eurasia.
When organizing your ideas and drafting your essay, follow these guidelines:
1. Build your analysis using the course materials. The basis of your essay should be the primary source material found at the end of Unit 9 under “Unit 9 Resources.” By all means, take the ideas and evidence offered in the videos (and please note that we have provided transcripts of the videos as well.) This information will provide context for the primary resources.
*DO NOT base your observations on other evidence that you locate on the web or elsewhere. Remember, a big part of this essay is showing us your mastery of the course material we have assigned.*
2. After reviewing the material from Week 9, use both primary sources to make a persuasive case about the role of the Silk Roads in creating a new form of globalization. While you want to show that you understand the larger trends in the material, take the time to explore in depth these specific sources.
3. When you refer to specific historical evidence (which should be something you do frequently throughout the essay), indicate, in parentheses, the location in the course materials of the evidence.
4. Do not simply copy what we (or anyone else) have said. If you do, use quotation marks to indicate that the words were written by someone else and be sure to indicate your source for the quotation in parentheses. Plagiarism is a serious violation of GSU policy that leads to severe penalties!
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We will grade the essay out of 100 possible points according to these criteria:
Up to 30 points for the student's grasp of the larger historical context covered in the units
Up to 25 points for the appropriateness of the student's choice of examples to analyze in depth and proper citation of these sources
Up to 25 points for the quality of the student's analysis of those examples
Up to 20 points for appropriate grammar and graceful expression
Topic B
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analytic 1000 word essay about the Matrix 1 Simple english .docx
The Matrix uses religious concepts in its narrative by depicting Neo as a savior figure who is resurrected and gains special powers to defeat evil machines and free humanity from an artificial reality. Key religious themes include the concept of a simulated reality versus the real world, Neo's role as a messianic figure, and machines representing forces of evil. The essay should be 1000 words and cite sources accessible online using APA style references.
ANALYSIS PAPER GUIDELINES and FORMAT What is the problem or is.docx
ANALYSIS PAPER: GUIDELINES and FORMAT:
What is the problem or issue to be solved?
ABSTRACT:
State the problem and best course of action (i.e. solution) in the absolute fewest words possible. YOU MUST BEGIN YOUR PAPER WITH A ONE PARAGRAPH SUMMATIVE “ABSTRACT” DEFINING YOUR POSITION/THESIS.
1. INTRODUCTION:
Restate the problem and proposals/solutions CLEARLY. Provide any necessary background information. Explain/Summarize why your proposed course(s) of action are worthwhile/best, etc. Explain key terms needed to understand the problem.
2. BODY (Part One):
What are the causes of the problem?
Why/How did it happen?
For whom is this a problem?
What are the effects of the problem?
Why is it a problem?
The better you, the writer, understands the problem/issue and all its implications, the better solutions you will find.
Properly document/support your arguments/findings, etc.
3. BODY (Part Two):
Discuss and examine each solution, course of action, etc. Why is it feasible. Why is this the best course of action. What are the advantages over other courses of action or solutions.
What resources are available or will be necessary?
Use logic and critical thinking in your discussion.
Apply learned or researched theories and/or principles.
Fully and properly DOCUMENT your work/paper.
Discuss and consider all sides/arguments and look for repercussions. What could go wrong; what might not work; what might not be supported?
4. BODY (Part Three/Conclusion):
Discuss which/why your proposed course of action/solution is the
most feasible and why you chose it, developed it, etc.
Make sure your justification of the “value” of the chosen solution is fully supported/rationalized.
When you done, make sure you did the following:
Are all your arguments/reasoning logical and supported?
Are your transitions and connections clear and do they flow together?.
Are all your ideas, arguments, sources moving the reader further from one idea to the next?
Is there a constant “nexus” between what you are writing and your abstract?
Are you using correct words?
Short sentences?
Short paragraphs?
Complete sentences?
Punctuation, capitalization, spelling, word-choice, word usage?
Length: (7) FULL pages (double-spaced, one inch margins, 11 point type)
NOTE:
**Your paper should be balanced between ( background, general research, and your PERSONAL insight and analysis.)
** Use reliable sources.
DUE : IN April 2nd.
Indirect Trauma in the Field Practicum:
Secondary Traumatic Stress, Vicarious Trauma,
and Compassion Fatigue Among Social Work Students
and Their Field Instructors
Carolyn Knight
A sample of BSW students and their field instructors was assessed for the presence
of indirect trauma, including secondary traumatic stress, vicarious trauma, and
compassion fatigue. Results indicated that students were at greater risk of experi-
encing vicarious trauma than their field instructors and research participants in
previous studies. Risk factors for stud.
Analysis on the Demand of Top Talent Introduction in Big Dat.docx
Analysis on the Demand of Top Talent Introduction
in Big Data and Cloud Computing Field in China
Based on 3-F Method
Zhao Linjia, Huang Yuanxi, Wang Yinqiu, Liu Jia
National Academy of Innovation Strategy, China Association for Science and Technology, Beijing, P.R.China
Abstract—Big data and cloud computing, which can help
China to implement innovation-driven development strategy and
promote industrial transformation and upgrading, is a new and
emerging industrial field in China. Educated, productive and
healthy workforces are necessary factor to develop big data and
cloud computing industry, especially top talents are essential.
Therefore, a three-step method named 3-F has been introduced
to help describing the distribution of top talents globally and
making decision whether they are needed in China. The 3-F
method relies on calculating the brain gain index to analysis the
top talent introduction demand of a country. Firstly, Focus on the
high-frequency keywords of a specific field by retrieving the
highly cited papers. Secondly, using those keywords to Find out
the top talents of this specific field in the Web of Science. Finally,
Figure out the brain gain index to estimate whether a country
need to introduce top talents of a specific field abroad. The result
showed that the brain gain index value of China's big data and
cloud computing field was 2.61, which means China need to
introduce top talents abroad. Besides P. R. China, those top
talents mainly distributed in the United States, the United
Kingdom, Germany, Netherlands and France.
I. INTRODUCTION
Big data and cloud computing is a new and emerging
industrial field[1], and increasing widely used in China[2-4].
Talents’ experience is a source of technological mastery[5],
essentially for developing and using big data technologies.
Most European states consider the immigration of foreign
workers as an important factor to decelerate the decline of
national workforces[6]. Lots of universities and research
institutes have set up undergraduate and/or postgraduate
courses on data analytics for cultivating talents[7]. EMC
corporation think that vision, talent, and technology are
necessary elements to providing solutions to big data
management and analysis, insuring the big data success[8].
Bibliometrics research has appeared as early as 1917[9],
and has been proved an effective method for assessing or
identifying talents. Based on analyses of publication volume,
journals and their impact factors, most cited articles and
authors, preferred methods, and represented countries,
Gallardo-Gallardo et. al[10] assess whether talent management
should be approached as an embryonic, growth, or mature
phenomenon.
In this paper, we intend to analysis whether China need to
introduce top talents in the field of big data and cloud
computing by using bibliometrics. In section 2, the 3-F method
for top talent introduction demand analysis will be dis.
AnalysisLet s embrace ourdual identitiesCOMMUNITY COHE.docx
Analysis
Let s embrace our
dual identities
COMMUNITY COHESION Absorbing British values does not
mean ignoring our different heritages, says Alan Riddell
Local heritage: many Britons retain distinctive cultural ana reiigious characteristics
Minorities and faith issues stir strong
emotions. The Archbishop of Canter-
bury's mistake in raising the issue of
how the (J K should accommodate the
needs of one of its larger minorities
was to mention Sharia law. with all the
fears it raises about executions, cut-
ting off hands, and lack of rights for
women. It's not surprising that politi-
cians were brisk to condemn him.
Questions involving the Muslim
community are complicated by the
tendency to use "Islam" and "terror-
ism"in thesame breath. An example of
such muddled thinking was the Royal
United Services Institute's warning
last month that "misplaced deference
to multiculturalism has failed to lay
down the line to immigrant communi-
ties", undermining the fight against
extremism (R&R, 29 February. pl6).
But while the treatment, real or per-
ceived, of parts of our Muslim commu-
nity may exacerbate problems in this
country, the origins of violent extrem-
ism are not domestic - and they cannot
be cured by "laying down the line".
Accommodating diverse cultures
and faiths will always be difficult: there
could be no meeting of minds between
the Hindu monks in Hertfordshire
who believed that the natural death of
their sacred eow should not have been
hastened, and the Royal Society for
the Prevention of Cruelty to Animals
who were equally adamant that the
animal should be put down humanely.
When minorities are small, it is easy
forthe majority to ignore iheir customs.
The Orthodox Jewish communities in
north London have been accepted for
years. But their plans to create an 11
mile symbolic boundary.or Eruv.incor-
porating the Jewish community in
Golders Green met a decade of resist-
ance from people who felt that shared
space was beingcolonised.even though
the visible impact was minimal.
But we cannot ignore the increasing
diversity of our population. There has
been a steady increase in immigration
over the last 20 years and recent im-
migrants tend to be younger and so
have more children than the resident
population. Coupled with natural pop-
ulation growth, the proportion of our
population with a relatively recent
overseas heritage will continue to rise.
And the number of ethnically-mixed
neighbourhoods will grow with it.
There are areas where minorities
will soon be majorities, such as Birm-
ingham and several London boroughs.
But the internal migration patterns of
our minority population are similar to
those of the majorityionc in five neigh-
bourhoods in England are projected to
be ethnically mixed by 2011.
Of course, most of our diverse pop-
ulation will absorb the broad values
of British society, and there will be
many more children from mixed race
relationships. But it would be a mis-
take to ignore different heritages. We
cannot choos.
Analysis of the Marketing outlook of Ferrari4MARK001W Mark.docx
Analysis of the Marketing outlook of Ferrari
4MARK001W Marketing
Principles: Report
Analysis of the Marketing outlook of Ferrari
Company Coursework 1: Apple Inc.
Company Coursework 2: Ferrari S.p.A.
Module Leader: Norman Peng
Seminar Tutor: Norman Peng
Student: Paolo Savio Foderaro W1616642
Marketing Report �1
Norman
Highlight
Analysis of the Marketing outlook of Ferrari
I. Introduction 3
II. PEST Analysis 4
III. Porter’s Five Forces Analysis 6
IV. SWOT and Positioning Strategy Analysis 8
V. Ansoff Matrix 10
VI. Ferrari’s Social Responsibility 11
VII.Referencing List 12
Marketing Report �2
Analysis of the Marketing outlook of Ferrari
Ferrari S.p.A
(Ferrari Corporate)
“Give a kid a paper sheet and some colours and ask him to
draw a car, for certain the car will be red” (Enzo Ferrari)
I. Introduction
A prancing black horse on a yellow background is not something that could pass unnoticed.
Destined to become an icon of style, luxury and speed, the first Ferrari made its appearance to the
public in 1947, eight years after the foundation by the Italian entrepreneur Enzo Ferrari of Auto
Avio Costruzioni, what would come to be, later on, the well-known brand Ferrari.
Throughout the history the company divided itself into the developing and production of
racing cars, becoming one of the most successful racing team in the world, and of luxury cars
distinguishing itself for the excellence of the Italian manufacture. As a matter of fact Ferrari’s cars
are build following the ideal of perfection in terms of design, power and elegance conveyed by the
Marketing Report �3
Analysis of the Marketing outlook of Ferrari
founder, Enzo Ferrari, who was used to say: “The best Ferrari is the next one” (Enzo Ferrari, no
date).
From its foundation till today Ferrari’s mission statement has been to build unique sport
cars, symbols of Italian excellence both on the road and on track. At the end of 2015 the Italian
sport car manufacturer can praise more than 7500 cars sold with a presence in 62 worldwide
markets and a net revenues of 2,854 millions of euros (Ferrari, Annual Report 2015).
Herein, the purpose of the report will be to analyse in the first part the external factors that
influence the company’s business. Then I will take into account the industry within which the
company operates in. After that, I will examine the strategic position of the company in the market
and the marketing strategy utilised for its products, namely sport cars. Finally I will conclude taking
into consideration sustainability and ethic-related issues that the company is dealing with.
(Ferrari Corporate)
II. PEST Analysis
The first concern for a company’s business is to understand and deal with all the external
factors that could affect the company’s future performance. It is worth saying that all possible
external factors are not under control of.
Analysis of the Monetary Systems and International Finance with .docx
Analysis of the Monetary Systems and International Finance with Focus on China and Singapore
Name
Institutional Affiliation
Analysis of the Monetary Systems and International Finance with Focus on China and Singapore
Regional Economic Integration and Economic Cooperation
The Asian region is among the leading international economic powerhouses due to its economic potential and size with countries such as China and Singapore dominating the region. Nonetheless, the capacity constraints in various Asian nations and the diversity of the continent complicate the efforts to create a unified market in the Far East. Achieving success in Asia's regional economic integration requires high commitment levels among the member countries in addition to the effective implementation of various initiatives to facilitate economic cooperation (Rillo & Cruz, 2016). I consider China and Singapore as significant players in the global and Asian economies due to their volumes of traded goods and investments in their local and foreign markets. For instance, China leads in the Asian continent, and its economy is the second largest in the world based on its nominal gross domestic product as an indicator of market performance. On the other hand, Singapore's highly developed economy is among the most rapidly growing in the world, and this has allowed the country from a third-world nation into a developed country in about five decades. I also observe that variations scope and breadth exist in regional economic integration, and the economic integration in the East Asia region initially assumed a market-oriented cooperation process before transforming into an economic integration drive.
My understanding is that a trade bloc refers to a form of an agreement between different governments that reduce or eliminate trade barriers to increase trade volumes among the member states. I have also learned that the trade blocs can exist as independent agreements between specific countries or form components of regional organizations. The trade blocs can further be categorized as monetary and economic unions, common markets, customs unions, free trade areas, and preferential trading areas. In Asia, the intergovernmental agreements have resulted in some regional trade agreements as well as the formation of the ASEAN trading bloc. I noted that China and Singapore are currently members of the Association of South-East Nations trading block alongside eight other countries in Southeast Asia. The primary objectives of ASEAN include the facilitation of sociocultural, educational, military, political, and economic integration as well as promoting intergovernmental cooperation in the region (Berman & Haque, 2015). The first stated aim of ASEAN is enhancing the competitiveness of the region in the international market as a production base by eliminating non-tariff and tariff barriers within the member states. The second aim of ASEAN is increasing the volume of FDI's to the Southeast Asia .
Analysis of the Barrios Gomez, Agustin, et al. Mexico-US A New .docx
Analysis of the B
arrios Gomez, Agustin, et al.
Mexico-US: A New Beginning
. COMEXI, 2020.
Write a summary and included the relevance to globalization, trade, finance, and immigration for international economics.
1-2 pages double-spaced; include footnotes/reference sources.
.
Analysis of Literature ReviewFailure to develop key competencie.docx
Analysis of Literature Review
Failure to develop key competencies and behaviors has been researched before through studying the workplace conflicts. In essence, workplace conflicts are inevitable mainly when employees are people from various backgrounds and different work styles that are brought together for the sake of shared business objectives. The history of organizations failing to develop competencies is quite long, and only a few studies have shown that about 30% of organizations have initiatives to improve behaviors among employees (Sperry, 2011). Previous have depicted several progressive organizations that use a leadership competency model to assist in outlining key skills and behaviors wanted by managers, supervisors, and executives.
Several questions remain unanswered about this subject, and they exist in some ways. First, the question is about the guilty of facilitation of workshops with management. It happens because organizations fail to identify and specify the essential competencies that apply to particular issues in the organization. Ideally, organizations need to shuffle and prioritize on the generic competencies as well as behaviors that would require management leaders to help in solving problems that may arise in the workplace (Sperry, 2011). Second, there is no proof of the competencies that matter to organizations. Indeed, there is must empirical data about the key behaviors that have the most significant effect on the engagement of employees, attraction, customer levels, and productivity of the employees in several organizations (Frisk & Larson, 2011).
The current best practices in dealing with this particular type of organization conflict are many and precisely based on the supervisors, managers, and executives. Develop towering strengths that would help in overshadowing weaknesses in the organization. Ideally, good leadership development always tries to magnify small natural strengths to highly energized strengths that would result in double improvement (Halász & Michel, 2011). The current best practice is the application of the competency models to assist leaders in improving their effectiveness, especially when dealing with employee behaviors in the organization.
Design Proposal and Outline
Topic of Training
The topic of training is using competency models for development and building of key competencies and behaviors in an organization.
Reason for the Choice
The topic is chosen because the primary purpose of the competency model is to assist leaders in the improvement of their effectiveness in developing key competencies and behaviors in an organization. The strengths cross-training is a common thing in an organization since it is closely associated with competency and behavior improvement (Sperry, 2011).
Subsequently, the topic is narrow enough to address in two-hour training since it is quite specific. The topic is based on enhancing the competency framework at the workplace which is indeed critical i.
Analysis Of Electronic Health Records System1C.docx
Analysis Of Electronic Health Records System
1
Chyterria Daniels
Capella University
May 3, 2020
Introduction
Merit-founded Incentive Payment System (MIPS) is a platform for value-founded settlement under the Quality Payment Program (QPP). The system aims at fostering the current innovation and improvement in clinical operations. MIPS mean that the organization should rationalize Physician Quality Reporting System (PQRS) (Meeks & Singh, 2019). Meaningful use guidelines are certain facets of an HER system that providers will be needed to use in their organization.
2
MIPS denote Merit-founded Incentive Payment System.
It is a platform for value-founded settlement under the Quality Payment Program (QPP)
It aims at fostering the current innovation and improvement in clinical operations
MIPS means that the organization should rationalize Physician Quality Reporting System (PQRS)
Meaningful use guidelines are certain compliance facets of an HER system that providers will be needed to use in their organization.
It means that the organization should have its set meaningful use guidelines
Current State of Compliance
The organization has set technology in the ICU
EHR not integrated to accommodate patient’s needs
Application of computers to draw guidance and instructions on conditions
Availability of lab information system
No replacement of diagnosing equipments
Independence Medical Center’s Electronic Health Records (HER) system has complied with some set guidelines. For instance, the healthcare organization has set technology system in its intensive care units. In addition, there is use of computers to draw guidance and instructions regarding several conditions on patients. However, the organization has not obeyed some guidelines like the replacement of outdated diagnosing equipment and lack of integrating EHR to accommodate all patients’ needs (Boonstra & Vos, 2018).
3
Current EHR Used in the Organization
Laboratory Information System (LIS)
Computerized Physician Order Entry (CPOE)
Central Supply System
Pharmacy system
Picture Archiving and Communication System (PACS)
Independence Medical Center’s Electronic has set up various EHR systems for use in different departments to deliver healthcare services to patients. For instance, the organization has implemented PACS, which is a health check imaging technology which offers reasonable storage and expedient admission to images from numerous modalities (Data & Komorowski, 2017).
4
Evaluation of EHR
The electronic health record system used in the ambulatory system lacks integration to accommodate patient’s needs. The system does not alert physician on drug interactions and other warning. On another point, each department has its exclusive system making it hard to share information between staff members in various units (Boonstra & Vos, 2018). An effective EHR system should be in a position to enable information transmission to all staff.
Analysis of element, when we perform this skill we break up a whole .docx
Analysis of element, when we perform this skill we break up a whole into its constituent parts. It is the identification and separation of the prts or components that constitute a communicatio. we look at the communivation in details so as to determine its natura. The elements ir parts are then classified or labeled into categoties.
There are a total of 5 text. I need to make an outline of each text. The last 2 pages is an example of how it should be done. If there are any questions please let me know.
.
Analysis of a Career in SurgeryStude.docx
Analysis of a Career in Surgery
Student Name
Professor Williams
English 122 02H
Date Due
Outline
Thesis: This analysis will explore the education, training, and career of a Surgeon.
· Introduction
· Definition of Surgeon
· Qualities of a Surgeon
· Thesis, Purpose, and Audience
· Source and Scope of Research
· Career Analysis
· Education
· Undergraduate Degree
· Application Requirements
· Medical School
· Residency & Fellowship
· Life of a Surgeon
· Duties and Responsibilities
· Surgery
· Teaching
· Research
· Work/Life Balance
· Employment Prospects
· Career Growth
· Advancement Opportunities
· Pros and Cons
· Conclusion
· Summary of Findings
· Interpretation of Findings
· Recommendations
Analysis of a Career in Surgery
INTRODUCTION
A career as a surgeon is long, incredibly difficult, competitive, costly, and one of the most rewarding pursuits you can have in your life. Something not typically mentioned to aspiring pre-medical students is the complicated nature of applying to medical school and residency. Much more is required than just a set of good grades. Volunteer work in the community, leadership and research experience, writing and interviewing skills, are all necessary for a successful application to medical school. All of those things are required yet again, when applying to surgical residency.
Before digging into all those things, let’s look at the definition of a surgeon. The United States Department of Labor, Bureau of Labor Statisticsdescribes the surgical profession in the Occupational Outlook Handbook as the following: “Using a variety of instruments, a surgeon corrects physical deformities, repairs bone and tissue after injuries, or performs preventive or elective surgeries on patients.” This is a strict definition however; a more useful outlook would be to focus on what traits lend themselves to becoming a successful surgeon.
There is a useful list created by the American College of Surgeons (ACS), titled, “So You Want to Be A Surgeon: An Online Guide to Selecting and Matching with the Best Surgery Residency,” which aims at current medical students. The guide says that a surgeon should work well as a member of a team; enjoy quick patient outcomes; welcome increasing responsibility; excel at solving problems with quick thinking; be inspired by challenges; and love to learn new skills (American College of Surgeons). The ACS recommends looking into a surgical career if you believe some or all of those traits apply to you. However, there is no such thing as a “standard surgical resident” and the ACS points out that “surgeons are trained, not born.…Becoming a good surgeon is a lifelong process.”
For students interested in pursuing a surgical career, this analysis will explore the education, training, and career of a Surgeon. Information for objective analysis will be taken from multiple sources including article databases, government sources, a personal interview with an orthopedic surgeon, the American College of Sur.
Analysis Assignment -Major Artist ResearchInstructionsYo.docx
Analysis Assignment -
Major Artist Research
Instructions
You will select one of the major, heard-of artist mentioned in the textbook as a subject for your research paper.
Step 1: Research the artist and a theme within their work
This paper should be more than just being "about" the artist. More than a biography.
Identify a theme or central idea about the artist or his/her artwork (your thesis) as it relates to a theme explored in Module 4 (Part 4 of the textbook) and then build the paper around that idea.
Select an artist from the list below:
Ana Mendieta
Chuck Close
Robert Mapplethorpe
Faith Ringgold
Kehinde Wiley
Carrie Mae Weems
Judy Chicago
Cindy Sherman
Yasumasa Morimura
Shirin Neshat
The expectation is that the research should represent information from several sources (
at least four -- websites will only count as sources if they are online versions of print material
) and that any direct borrowing of wording from these sources will be indicated by quotation marks and listed on the works cited page.
Step 2: Write the analysis
Draft your thesis (remember, this is not a biography paper so your thesis needs to be about the art)
Research information about the artist and their background
Identify a common theme within the artist works
What is the context of their work? Cultural? Spiritual? Political? Historical?
Step 3: Before you submit... make sure that you have the following:
The analysis length should be a minimum of 3 pages. (Not including the Works Cited page)
The paper should meet normal standards for documentation (citations and works cited such as found in the Modern Language Association, 8th ed.).
Use MLA format (Times New Roman 12-point size font, double-spaced, appropriate in-text citations, Works Cited page, etc...)
At least four sources -- websites will only count as sources if they are online versions of print material
Similarity Report must within 0-10%
.
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- 1. An infinite population has a standard deviation of 10. A random sample of 100 items from this population is selected. The sample mean is determined to be 60. At 98% confidence, the margin of error is 1.28 1.645 1.96 2.33 None of the above The z value for a 90% confidence interval estimation is 1.28 1.645 1.96 2.33
- 2. 2.576 The t value for a 90% confidence interval estimation with 24 degrees of freedom (not the sample size n) is 1.317836 1.710882 2.063899 2.492159 2.796939 A random sample of 144 observations has a mean of 20, a median of 21, and a mode of 22. The population standard deviation is known to equal 3.6. The 90% confidence interval for the population mean is 19.62 to 20.38 19.51 to 20.49 19.41 to 20.59
- 3. 19.30 to 20.70 A random sample of 144 observations has a mean of 20, a median of 21, and a mode of 22, and a standard deviation of 3.6.. The 90% confidence interval for the population mean is 19.60 to 20.40 19.48 to 20.52 19.33 to 20.67 18.20 to 20.80 A random sample of 64 students at a university showed an average age of 20 years and a sample standard deviation of 4 years. The 90% confidence interval for the true average age of all students in the university is 19.58 to 20.42 19.35 to 20.65 19.15 to 20.85 19.00 to 21.00
- 4. The following random sample from a population whose values were normally distributed was collected. 10 15 11 12 The 95% confidence interval for μ is 11.00 to 13.00 10.23 to 13.77 9.46 to 14.54 8.56 to 15.44 For a two-tailed Z-test at a 0.05 level of significance; the table (critical) value -1.96 and 1.96 -1.645 and 1.645 -2.33 and 2.33
- 5. -2.575 and 2.575 For a one-tailed Z-test at a 0.10 level of significance; the table (critical) value -1.96 and 1.96 -1.645 and 1.645 -1.28 and 1.28 -2.575 and 2.575 n = 36 H0: 20 = 22 Ha: > 20 = 12 The test statistic equals 1.30 1.00
- 6. -1.30 1.50 n = 36 H0: ≥ 20 = 18 Ha: < 20 = 6 The p-value equals 0.1587 0.0668 0.0228 0.0107 n = 36 H0: ≥20 = 18 Ha: < 20 = 12
- 7. If the test is done at a .05 level of significance, the null hypothesis should not be rejected be rejected Not enough information is given to answer this question. None of the other answers are correct. n = 9 H0: = 50 = 48 Ha: 50 s = 3 Assume data are from normal population The p-value is equal to 0.0171 0.0805 0.2705
- 8. 0.2304 n = 36 H0: 20 = 22 Ha: > 20 s = 6 The p-value equals 0.0267 0.0403 0.1621 0.1733 = 36 H0: μ ≥ 20 = 18 Ha: μ < 20 s = 6
- 9. If the test is done at a .05 level of significance, the null hypothesis should not be rejected be rejected Not enough information is given to answer this question. None of the other answers are correct. n = 9 H0: = 50 = 53 Ha: 50 = 3 Assume data are from normal population The p-value is equal to 0.0455 0.0027
- 10. 0.2703 0.3173 A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation = 50,000 − 8x The above equation implies that an increase of $1 in price is associated with a decrease of $8 in sales increase of $8 in price is associated with an increase of $8,000 in sales increase of $1 in price is associated with a decrease of $42,000 in sales increase of $1 in price is associated with a decrease of $8000 in sales In a regression analysis if SSE = 500 and SSR = 300, then the coefficient of determination is 0.6000 0.1666
- 11. 1.6666 0.3750 Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). x y 2 12 3 9 6 8 7 7 8 6 7 5 9 2 The least squares estimate of b0 equals -0.7647
- 12. -0.1125 13.75 16.412 Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). x y 2 12 3 9 6 8 7 7 8 6 7 5 9 2 The coefficient of determination equals 0.7705 -0.9941
- 13. 0.9941 0.8438 Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 1 50.58 Residual Total 14 106.00
- 14. Coefficients Standard Error t Stat p-value Intercept 16.156 1.42 0.0000 Variable x -0.903 0.26 0.0000 The estimated regression equation (also known as regression line fit) is Y = 0 + 1X1 + ε, E(Y) = 0 + 1X1 + 2X2 Ŷ = -0.903 + 16.156X1 Ŷ = 16.156 - 0.903X1
- 15. none of the above Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 1 50.58 Residual Total 14 106.00
- 16. Coefficients Standard Error t-stat p-value Intercept 16.156 1.42 0.0000 Variable x -0.903 0.26 0.0000 To test whether the parameter 1 is significantly different from zero (i.e., Ha: β1 ≠ 0), the calculated test statistic equals 2.0619 -1.628
- 17. -3.473 11.377 none of the above Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 1 50.58 Residual
- 18. Total 14 106.00 Coefficients Standard Error t Stat p-value Intercept 16.156 1.42 0.0000 Variable x -0.903 0.26 0.0000 To test whether the parameter 1 is significantly different from zero (i.e., Ha: β1 ≠ 0) at 10% significance level, the critical value (table value)
- 19. for the test is 2.571 2.160 2.015 1.771 none of the above Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 1 50.58
- 20. Residual Total 14 106.00 Coefficients Standard Error t Stat p-value Intercept 16.156 1.42 0.0000 Variable x -0.903 0.26
- 21. 0.0000 To test whether the parameter 1 is significantly different from zero (i.e., Ha: β1 ≠ 0) at 10% significance level, we will conclude to reject H0 and conclude β1 = 0 reject H0 and conclude β1 ≠ 0 fail to reject H0 and conclude β1 = 0 fail to reject H0 and conclude β1 ≠ 0 none of the above Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS
- 23. 0.0000 Variable x -0.903 0.26 0.0000 The coefficient of determination is. 0.5228 0.4772 0.6535 0.3465 For Reference: Lesson 8 Fiber Optics and Robots Lesson 7 · Glass and Windows · Doors · Physical Security Lesson 6
- 24. · Standards, Regulations, and Guidelines, etc. · Info Tech System Infrastructure · Security Officers and Equipment Monitoring Lesson 5 · Access Control and Badges · Fence Standards Stage of Fire Lesson 4 · Alarms: Intrusion Detection Systems · Video Technology Overview · Biometrics Characteristics Lesson 3 · Use of Locks in Physical Crime Prevention · Safes, Vaults, and Accessories · Security Lighting Lesson 2 · Approaches to Physical Security · Protective Barriers Physical Barriers Lesson 1 · Influence of Physical Design · Intro to Vulnerability Assessment · Security Surveys and the Audit Required Resources Textbook(s) Required: Edition. Butterworth-Heinemann, Elsevier, 2012 ISBN 978-0- 12-415892-4
- 25. Recommended Materials/Resources Please use the following author’s names, book/article titles, Web sites, and/or keywords to search for supplementary information to augment your learning in this subject. · Official (ISC)2 CISSP Training Seminar Handbook. International Information Systems Security Consortium, 2014. · Harris, Shon. All in One CISSP Exam Guide, Sixth Edition. McGraw-Hill, 2013. · Rhodes-Ousley, Mark. The Complete Reference to Information Security, Second Edition. McGraw-Hill, 2013. Professional Associations · International Information Systems Security Certification Consortium, Inc., (ISC)²® This Web site provides access to current industry information. It also provides opportunities in networking and contains valuable career tools. http://www.isc2.org/ · International Association of Privacy Professionals (IAPP) This Web site provides opportunity to interact with a community of privacy professionals and to learn from their experiences. This Web site also provides valuable career advice. https://www.privacyassociation.org/ · ISACA This Web site provides access to original research, practical education, career-enhancing certification, industry-
- 26. leading standards, and best practices. It also provides a network of like- minded colleagues and contains professional resources and technical/managerial publications. https://www.isaca.org/Pages/default.aspx