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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
MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
STAT2002 Walden University Applying Probability Distributions Paper
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how m ...
STAT2002 Walden University Applying Probability Distributions Paper
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how many eggs do you typically buy? Then, how many do you eat compared to the number you throw away because they have expired? If you have collected this data, it might help inform your decision at the grocery store to either buy more, fewer, or even no eggs. Also, while you are at the grocery store, if you know the average milk prices and standard deviation, then you might consider buying a gallon that costs a little more or you might think it is worth the second trip to get it cheaper elsewhere. How might you apply these concepts to business situations? Consider different ways that probability distributions could be applied to materials, labor costs and estimations, sales reports, and so on.In this Assignment, you will respond to a set of questions that provide real-world examples of how probability distributions can be used to make better decisions, improve performance, and predict outcomes.To prepare for this Assignment:Review this week’s Learning Resources.Refer to the Academic Writing Expectations for 2000/3000-Level Courses as you compose your Assignment.By Day 7Submit your responses to the following prompts.A market-research firm was hired to determine the percentage of people in a market area who would purchase a client’s magazine if a door-to-door sales campaign were undertaken. The firm stated that 40% would buy if contacted at home. Suppose the marketing company has tried the sales campaign at 300 randomly selected homes. (150–225 words, or 2–3 paragraphs)Assuming the market research was done properly and the 40% is representative, how many sales are expected if the publisher attempts to sell to 5,000 homes?If the market research was accurate, what is the probability that fewer than 100 individuals will buy? Use the normal approximation to the binomial.Suppose that the publisher actually sells the magazine to 70 people out of the 300 contacted. What would you conclude about the market research? About the campaign?A steel mill produces alloy sheets used for the bodies of automobiles. The mill produces sheets with an average thickness of 0.517 inches and a standard deviation of 0.037 inches. A new car model requires alloy sheets between 0.495 and 0.525 inches thick. What percentage of the sheets made by the mill will be suitable for the new car model? Explain your answer. (75 words, or 1 paragraph)The VP of HR for a large company is interested in the distribution of sick-leave hours for employees at the company. A recent study revealed that the distribution was consistent with a normal model, with a mean of 58 hours per year, and a standard deviation of 14 hours. An office manager of one division believes that during the past year, two of the division’s employees have taken excessive sick leave. One took 74 hours and the other used 90 hours. What would you conclude about the division manager’s claim, and why? (75 words, or 1 paragraph)Each month, an American household generates an average of 28 pounds of newspaper for garbage and/or recycling. Assume this is approximately normally distributed and that the standard deviation is 2 pounds. If a household is selected at random, find the probability of it generating between 27–31 pounds per month. (75 words, or 1 paragraph)Note: For each prompt, be sure to reference at least one scholarly source to support your answer. Use the Walden Undergraduate Paper Template, provided in this week’s Learning Resources, to complete this Assignment.
7 pages
Simplify By Using The Distributive Property
distribute parenthesis using : (a + b) (c + d) = ac + ad + bc + bd distribute parenthesis using : (a + b) (c + d) = ac + a ...
Simplify By Using The Distributive Property
distribute parenthesis using : (a + b) (c + d) = ac + ad + bc + bd distribute parenthesis using : (a + b) (c + d) = ac + ad + bc + bd
4 pages
Module 22 Matched Pairs Lab 14 Of 19 Groupwork 2
A hypothesis is an approximate explanation relating to the set of facts that further investigations can test. It can eithe ...
Module 22 Matched Pairs Lab 14 Of 19 Groupwork 2
A hypothesis is an approximate explanation relating to the set of facts that further investigations can test. It can either be null or alternative.
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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
MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
MA141 Grantham Week 5 Expected Value and Probability Paper
I need help with these questions. Also if a possible an explanation for each would be great to.
STAT2002 Walden University Applying Probability Distributions Paper
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how m ...
STAT2002 Walden University Applying Probability Distributions Paper
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how many eggs do you typically buy? Then, how many do you eat compared to the number you throw away because they have expired? If you have collected this data, it might help inform your decision at the grocery store to either buy more, fewer, or even no eggs. Also, while you are at the grocery store, if you know the average milk prices and standard deviation, then you might consider buying a gallon that costs a little more or you might think it is worth the second trip to get it cheaper elsewhere. How might you apply these concepts to business situations? Consider different ways that probability distributions could be applied to materials, labor costs and estimations, sales reports, and so on.In this Assignment, you will respond to a set of questions that provide real-world examples of how probability distributions can be used to make better decisions, improve performance, and predict outcomes.To prepare for this Assignment:Review this week’s Learning Resources.Refer to the Academic Writing Expectations for 2000/3000-Level Courses as you compose your Assignment.By Day 7Submit your responses to the following prompts.A market-research firm was hired to determine the percentage of people in a market area who would purchase a client’s magazine if a door-to-door sales campaign were undertaken. The firm stated that 40% would buy if contacted at home. Suppose the marketing company has tried the sales campaign at 300 randomly selected homes. (150–225 words, or 2–3 paragraphs)Assuming the market research was done properly and the 40% is representative, how many sales are expected if the publisher attempts to sell to 5,000 homes?If the market research was accurate, what is the probability that fewer than 100 individuals will buy? Use the normal approximation to the binomial.Suppose that the publisher actually sells the magazine to 70 people out of the 300 contacted. What would you conclude about the market research? About the campaign?A steel mill produces alloy sheets used for the bodies of automobiles. The mill produces sheets with an average thickness of 0.517 inches and a standard deviation of 0.037 inches. A new car model requires alloy sheets between 0.495 and 0.525 inches thick. What percentage of the sheets made by the mill will be suitable for the new car model? Explain your answer. (75 words, or 1 paragraph)The VP of HR for a large company is interested in the distribution of sick-leave hours for employees at the company. A recent study revealed that the distribution was consistent with a normal model, with a mean of 58 hours per year, and a standard deviation of 14 hours. An office manager of one division believes that during the past year, two of the division’s employees have taken excessive sick leave. One took 74 hours and the other used 90 hours. What would you conclude about the division manager’s claim, and why? (75 words, or 1 paragraph)Each month, an American household generates an average of 28 pounds of newspaper for garbage and/or recycling. Assume this is approximately normally distributed and that the standard deviation is 2 pounds. If a household is selected at random, find the probability of it generating between 27–31 pounds per month. (75 words, or 1 paragraph)Note: For each prompt, be sure to reference at least one scholarly source to support your answer. Use the Walden Undergraduate Paper Template, provided in this week’s Learning Resources, to complete this Assignment.
7 pages
Simplify By Using The Distributive Property
distribute parenthesis using : (a + b) (c + d) = ac + ad + bc + bd distribute parenthesis using : (a + b) (c + d) = ac + a ...
Simplify By Using The Distributive Property
distribute parenthesis using : (a + b) (c + d) = ac + ad + bc + bd distribute parenthesis using : (a + b) (c + d) = ac + ad + bc + bd
4 pages
Module 22 Matched Pairs Lab 14 Of 19 Groupwork 2
A hypothesis is an approximate explanation relating to the set of facts that further investigations can test. It can eithe ...
Module 22 Matched Pairs Lab 14 Of 19 Groupwork 2
A hypothesis is an approximate explanation relating to the set of facts that further investigations can test. It can either be null or alternative.
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