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The following confidence interval is obtained for a population proportion, p: 0.679 < p < 0.715. Use these confidence interval limits to find the margin of error, E.
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E = (.715-.679)/2 =.036/2=.018
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University of Phoenix Pastas R Us Data Statistical Report and Worksheet
Resource: Pastas R Us, Inc. Database Review the Wk 2 - Apply: Statistical Report assignment. In preparation for writing yo ...
University of Phoenix Pastas R Us Data Statistical Report and Worksheet
Resource: Pastas R Us, Inc. Database Review the Wk 2 - Apply: Statistical Report assignment. In preparation for writing your report to senior management next week, conduct the following descriptive statistics analyses with Excel®. Answer the questions below in your Excel sheet or in a separate Word document:Insert a new column in the database that corresponds to “Annual Sales.” Annual Sales is the result of multiplying a restaurant’s “SqFt.” by “Sales/SqFt.”Calculate the mean, standard deviation, skew, 5-number summary, and interquartile range (IQR) for each of the variables.Create a box-plot for the “Annual Sales” variable. Does it look symmetric? Would you prefer the IQR instead of the standard deviation to describe this variable’s dispersion? Why?Create a histogram for the “Sales/SqFt” variable. Is the distribution symmetric? If not, what is the skew? Are there any outliers? If so, which one(s)? What is the “SqFt” area of the outlier(s)? Is the outlier(s) smaller or larger than the average restaurant in the database? What can you conclude from this observation?What measure of central tendency is more appropriate to describe “Sales/SqFt”? Why?Below I have listed the instructions for week 2. This portion is to only help complete the assignment listed above in bold.Resources: Pastas R Us, Inc. Database & Microsoft Excel®, Wk 1: Descriptive Statistics Analysis AssignmentPurpose This assignment is intended to help you learn how to apply statistical methods when analyzing operational data, evaluating the performance of current marketing strategies, and recommending actionable business decisions. This is an opportunity to build critical-thinking and problem-solving skills within the context of data analysis and interpretation. You’ll gain a first-hand understanding of how data analytics supports decision-making and adds value to an organization. Scenario: Pastas R Us, Inc. is a fast-casual restaurant chain specializing in noodle-based dishes, soups, and salads. Since its inception, the business development team has favored opening new restaurants in areas (within a 3-mile radius) that satisfy the following demographic conditions:Median age between 25 – 45 years oldHousehold median income above national averageAt least 15% college educated adult populationLast year, the marketing department rolled out a Loyalty Card strategy to increase sales. Under this program, customers present their Loyalty Card when paying for their orders and receive some free food after making 10 purchases.The company has collected data from its 74 restaurants to track important variables such as average sales per customer, year-on-year sales growth, sales per sq. ft., Loyalty Card usage as a percentage of sales, and others. A key metric of financial performance in the restaurant industry is annual sales per sq. ft. For example, if a 1200 sq. ft. restaurant recorded $2 million in sales last year, then it sold $1,667 per sq. ft.Executive management wants to know whether the current expansion criteria can be improved. They want to evaluate the effectiveness of the Loyalty Card marketing strategy and identify feasible, actionable opportunities for improvement. As a member of the analytics department, you’ve been assigned the responsibility of conducting a thorough statistical analysis of the company’s available database to answer executive management’s questions.Report: Write a 750-word statistical report that includes the following sections:Section 1: Scope and descriptive statisticsSection 2: AnalysisSection 3: Recommendations and ImplementationSection 1 - Scope and descriptive statisticsState the report’s objective.Discuss the nature of the current database. What variables were analyzed?Summarize your descriptive statistics findings from Excel. 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Would you recommend changing this marketing strategy?Based on your previous findings, recommend marketing positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?)Indicate what information should be collected to track and evaluate the effectiveness of your recommendations. How can this data be collected? (Hint: Would you use survey/samples or census?)PLEASE NO PLAGIARISM, LIST REFERENCES IF NEEDED. PLEASE LET ME KNOW IF YOU HAVE QUESTIONS
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercis ...
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercise 5.Estimation Practice data . Please see the attachment
Question 1
2 Points
What is the 95% confidence interval for the mean number of years of education for lower-class respondents?
11.60 to 12.62
23.20 to 25.24
5.80 to 6.31
13.60 to 14.62
Question 2 2 Points What is the 95% confidence interval for the mean number of years of education for and working-class respondents? 14.76 to 15.25 12.76 to 13.25 25.50 to 26.50 6.38 to 6.63 Question 3 2 Points What is the 99% confidence interval for the mean number of years of education for lower-class respondents? 11.44 to 12.78 5.72 to 6.39 13.55 to 14.89 22.88 to 25.56 Question 4 2 Points What is the 99% confidence interval for the mean number of years of education for and middle-class respondents? 18.65 to 19.33 4.65 to 5.33 7.33 to 7.67 14.65 to 15.33 Question 5 2 Points As our confidence in the result increases, how does the size of the confidence interval change? The confidence interval gets wider, not narrower – increasing confidence leading to less precise intervals. The confidence interval gets narrower, but not wider – decreasing confidence leading to more precise intervals. As the result increases, the confidence level remains the same. As the result increases, the confidence level is reduced.
Though 70% of women with children younger than 18 years participate in the labor force, society still upholds the stay-at-home mother as the traditional model. Some believe that employment distracts mothers from their parenting role, affecting the well-being of children. In the GSS 2014, respondents were asked to indicate their level of agreement to the statement, “A working mother hurts children.” Of the 435 male respondents who answered the question, 18% strongly agreed that a working mother does not hurt children.
Question 6 2 Points What is the 90% confidence interval for this statistic for males? 0.30 to 0.42 0.08 to 0.11 0.15 to 0.21 1.50 to 2.10 Question 7 2 Points Of the 566 female respondents who answered the question, 40% strongly agreed that a working mother does not hurt children. What is the 90% confidence interval for this statistic? 0.74 to 0.86 0.37 to 0.43 0.14 to 0.18 0.19 to 0.22
According to a report published by the Pew Research Center in February 2010, 61% of Millennials (Americans in their teens and 20s) think that their generation has a unique and distinctive identity (N = 527).
Question 8 2 Points What is the 95% confidence interval to estimate the percentage of Millennials who believe that their generation has a distinctive identity as compared with the other generations (Generation X, Baby Boomers, or the Silent Generation)? CI = 6.84 to 5.16 CI = 50.88 to 60.76 CI = 102.84 to 112.16 CI = 56.84 to 65.16 Question 9 2 Points What is the 99% confidence interval? CI = 55.53 to 66.47 CI = 111.06 to 132.94 CI = 27.77 to 33.24 CI = 57.55 to 68.49 Question 10 2 Points Are both these results compatible with the conclusion that the majority of Millennials believe that they have a unique identity that separates them from the previous generations? Yes No
American Public University Presenting Descriptive Statistics Essay
Assignment InstructionsIn the lessons for Weeks 1 and 2, we examined several ways to present descriptive data. For this a ...
American Public University Presenting Descriptive Statistics Essay
Assignment InstructionsIn the lessons for Weeks 1 and 2, we examined several ways to present descriptive data. For this assignment, please create your own data set in Excel using at least 20 data points and create a 1) Table and 2) Graph that best represents your data. Be sure to label your columns and rows in the table or groups/axes in your graph. Include your fictitious research question and identify your independent variable(s) and dependent variable(s). Write a short summary of the data and why you selected the type of graph you did for display. For example you may wonder if favorite ice cream flavors vary among freshman, sophomores, juniors and seniors in a fictitious scenario. Your table and graph would represent this data and then you'd identify the DV and IV, respectively.
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Data Analytics.edited
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Smoking Indexes Compared to Lung Cancer Indexes Presentation
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University of Phoenix Pastas R Us Data Statistical Report and Worksheet
Resource: Pastas R Us, Inc. Database Review the Wk 2 - Apply: Statistical Report assignment. In preparation for writing yo ...
University of Phoenix Pastas R Us Data Statistical Report and Worksheet
Resource: Pastas R Us, Inc. Database Review the Wk 2 - Apply: Statistical Report assignment. In preparation for writing your report to senior management next week, conduct the following descriptive statistics analyses with Excel®. Answer the questions below in your Excel sheet or in a separate Word document:Insert a new column in the database that corresponds to “Annual Sales.” Annual Sales is the result of multiplying a restaurant’s “SqFt.” by “Sales/SqFt.”Calculate the mean, standard deviation, skew, 5-number summary, and interquartile range (IQR) for each of the variables.Create a box-plot for the “Annual Sales” variable. Does it look symmetric? Would you prefer the IQR instead of the standard deviation to describe this variable’s dispersion? Why?Create a histogram for the “Sales/SqFt” variable. Is the distribution symmetric? If not, what is the skew? Are there any outliers? If so, which one(s)? What is the “SqFt” area of the outlier(s)? Is the outlier(s) smaller or larger than the average restaurant in the database? What can you conclude from this observation?What measure of central tendency is more appropriate to describe “Sales/SqFt”? Why?Below I have listed the instructions for week 2. This portion is to only help complete the assignment listed above in bold.Resources: Pastas R Us, Inc. Database & Microsoft Excel®, Wk 1: Descriptive Statistics Analysis AssignmentPurpose This assignment is intended to help you learn how to apply statistical methods when analyzing operational data, evaluating the performance of current marketing strategies, and recommending actionable business decisions. This is an opportunity to build critical-thinking and problem-solving skills within the context of data analysis and interpretation. You’ll gain a first-hand understanding of how data analytics supports decision-making and adds value to an organization. Scenario: Pastas R Us, Inc. is a fast-casual restaurant chain specializing in noodle-based dishes, soups, and salads. Since its inception, the business development team has favored opening new restaurants in areas (within a 3-mile radius) that satisfy the following demographic conditions:Median age between 25 – 45 years oldHousehold median income above national averageAt least 15% college educated adult populationLast year, the marketing department rolled out a Loyalty Card strategy to increase sales. Under this program, customers present their Loyalty Card when paying for their orders and receive some free food after making 10 purchases.The company has collected data from its 74 restaurants to track important variables such as average sales per customer, year-on-year sales growth, sales per sq. ft., Loyalty Card usage as a percentage of sales, and others. A key metric of financial performance in the restaurant industry is annual sales per sq. ft. For example, if a 1200 sq. ft. restaurant recorded $2 million in sales last year, then it sold $1,667 per sq. ft.Executive management wants to know whether the current expansion criteria can be improved. They want to evaluate the effectiveness of the Loyalty Card marketing strategy and identify feasible, actionable opportunities for improvement. As a member of the analytics department, you’ve been assigned the responsibility of conducting a thorough statistical analysis of the company’s available database to answer executive management’s questions.Report: Write a 750-word statistical report that includes the following sections:Section 1: Scope and descriptive statisticsSection 2: AnalysisSection 3: Recommendations and ImplementationSection 1 - Scope and descriptive statisticsState the report’s objective.Discuss the nature of the current database. What variables were analyzed?Summarize your descriptive statistics findings from Excel. Use a table and insert appropriate graphs.Section 2 - Analysis Using Excel, create scatter plots and display the regression equations for the following pairs of variables:“BachDeg%” versus “Sales/SqFt”“MedIncome” versus “Sales/SqFt”“MedAge” versus “Sales/SqFt”“LoyaltyCard(%)” versus “SalesGrowth(%)”In your report, include the scatter plots. For each scatter plot, designate the type of relationship observed (increasing/positive, decreasing/negative, or no relationship) and determine what you can conclude from these relationships. Section 3: Recommendations and implementationBased on your findings above, assess which expansion criteria seem to be more effective.Could any expansion criterion be changed or eliminated? If so, which one and why?Based on your findings above, does it appear as if the Loyalty Card is positively correlated with sales growth? Would you recommend changing this marketing strategy?Based on your previous findings, recommend marketing positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?)Indicate what information should be collected to track and evaluate the effectiveness of your recommendations. How can this data be collected? (Hint: Would you use survey/samples or census?)PLEASE NO PLAGIARISM, LIST REFERENCES IF NEEDED. PLEASE LET ME KNOW IF YOU HAVE QUESTIONS
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercis ...
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercise 5.Estimation Practice data . Please see the attachment
Question 1
2 Points
What is the 95% confidence interval for the mean number of years of education for lower-class respondents?
11.60 to 12.62
23.20 to 25.24
5.80 to 6.31
13.60 to 14.62
Question 2 2 Points What is the 95% confidence interval for the mean number of years of education for and working-class respondents? 14.76 to 15.25 12.76 to 13.25 25.50 to 26.50 6.38 to 6.63 Question 3 2 Points What is the 99% confidence interval for the mean number of years of education for lower-class respondents? 11.44 to 12.78 5.72 to 6.39 13.55 to 14.89 22.88 to 25.56 Question 4 2 Points What is the 99% confidence interval for the mean number of years of education for and middle-class respondents? 18.65 to 19.33 4.65 to 5.33 7.33 to 7.67 14.65 to 15.33 Question 5 2 Points As our confidence in the result increases, how does the size of the confidence interval change? The confidence interval gets wider, not narrower – increasing confidence leading to less precise intervals. The confidence interval gets narrower, but not wider – decreasing confidence leading to more precise intervals. As the result increases, the confidence level remains the same. As the result increases, the confidence level is reduced.
Though 70% of women with children younger than 18 years participate in the labor force, society still upholds the stay-at-home mother as the traditional model. Some believe that employment distracts mothers from their parenting role, affecting the well-being of children. In the GSS 2014, respondents were asked to indicate their level of agreement to the statement, “A working mother hurts children.” Of the 435 male respondents who answered the question, 18% strongly agreed that a working mother does not hurt children.
Question 6 2 Points What is the 90% confidence interval for this statistic for males? 0.30 to 0.42 0.08 to 0.11 0.15 to 0.21 1.50 to 2.10 Question 7 2 Points Of the 566 female respondents who answered the question, 40% strongly agreed that a working mother does not hurt children. What is the 90% confidence interval for this statistic? 0.74 to 0.86 0.37 to 0.43 0.14 to 0.18 0.19 to 0.22
According to a report published by the Pew Research Center in February 2010, 61% of Millennials (Americans in their teens and 20s) think that their generation has a unique and distinctive identity (N = 527).
Question 8 2 Points What is the 95% confidence interval to estimate the percentage of Millennials who believe that their generation has a distinctive identity as compared with the other generations (Generation X, Baby Boomers, or the Silent Generation)? CI = 6.84 to 5.16 CI = 50.88 to 60.76 CI = 102.84 to 112.16 CI = 56.84 to 65.16 Question 9 2 Points What is the 99% confidence interval? CI = 55.53 to 66.47 CI = 111.06 to 132.94 CI = 27.77 to 33.24 CI = 57.55 to 68.49 Question 10 2 Points Are both these results compatible with the conclusion that the majority of Millennials believe that they have a unique identity that separates them from the previous generations? Yes No
American Public University Presenting Descriptive Statistics Essay
Assignment InstructionsIn the lessons for Weeks 1 and 2, we examined several ways to present descriptive data. For this a ...
American Public University Presenting Descriptive Statistics Essay
Assignment InstructionsIn the lessons for Weeks 1 and 2, we examined several ways to present descriptive data. For this assignment, please create your own data set in Excel using at least 20 data points and create a 1) Table and 2) Graph that best represents your data. Be sure to label your columns and rows in the table or groups/axes in your graph. Include your fictitious research question and identify your independent variable(s) and dependent variable(s). Write a short summary of the data and why you selected the type of graph you did for display. For example you may wonder if favorite ice cream flavors vary among freshman, sophomores, juniors and seniors in a fictitious scenario. Your table and graph would represent this data and then you'd identify the DV and IV, respectively.
3 pages
Data Analytics.edited
The subjective probability distributions for the number of delegates that would be in attendance at each location have bee ...
Data Analytics.edited
The subjective probability distributions for the number of delegates that would be in attendance at each location have been approximately defined by ...
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