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MS(Error) = SS(Error)/DF(Error) = 4106.05/ (18 - 5).
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San Jose State University Normal Distribution Problem
You are the new Vice President of Sales for Penske Motors, one of America’s leading automotive dealership groups that op ...
San Jose State University Normal Distribution Problem
You are the new Vice President of Sales for Penske Motors, one of America’s leading automotive dealership groups that operates over 100 individual dealerships across the country. While you are an experienced marketer, you are new to the automotive business. Naturally, given Murphy’s Law, one of your first recommendations will involve a decision about how the sales operation for all of the company’s dealerships will be structured—and passionate opinions abound on both sides of this issue.Repeated surveys across many years have shown that the U.S. car-buying public hates the traditional new-car buying experience. Typically, this experience involves a great deal of bargaining between the buyer and the salesperson, who usually doesn’t have the authority to make a final decision on the price of the vehicle but must check repeatedly with a sales manager. Consequently, different buyers could end up paying different prices for the same vehicle depending on a number of factors. Most potential customers find this process demeaning, upsetting, and time-wasting. In response, some dealers have begun selling their products in a way that is more agreeable to most Americans: they simply mark the price on the car and the potential buyer either pays that price or doesn’t buy the car. Penske’s California dealerships have been testing this new “flat pricing” policy, while its dealerships in other parts of the country have maintained the traditional, “bargaining” approach.You have a meeting with Roger Penske, himself, next week to recommend which of these sales policies the company should employ (which should give you an idea of the magnitude of this decision since Mr. Penske rarely involves himself in details of the company’s business anymore). Once, long ago, you were a good student of a certain Market Research professor and, if nothing else, you learned to let facts and data help you make better decisions. The question here is which data? The key for the company is what sells the most vehicles, but your company has dealerships of all different sizes and a dozen different brands. Finally, it hits you: one of the most important tools in evaluating salesperson performance is the so-called “closing percentage;” that is, the percentage of customer visits that result in a sales “close” (i.e., the sale of a vehicle).Yelling for your SJSU intern, you quickly send her off to select a random sample of the company’s California dealerships and another of the company’s dealerships elsewhere in the U.S. In each case, your intern is to provide data on the number of customer visits and the number of vehicle sales. This will enable you to calculate a “closing percentage” for each approach and make a recommendation. You have decided to make one of the following recommendations: (1) the new “flat pricing” approach if its “closing percentage” is higher than the traditional “bargaining” approach; (2) the “bargaining” approach if it has a higher “closing percentage” than “flat pricing;” or (3) if the “closing percentages” are statistically equal, maintain both approaches, but expand the test of the “flat pricing” approach to all west coast dealerships and collect customer data nationwide to see which approach leads to more satisfied customers. The data your intern provided is on the next page. Using an alpha of .05 and the 5-step hypothesis-testing process, what will you recommend?Sample of California DealershipsSample of Other U.S. DealershipsDealershipID #Number of Customer VisitsNumber of Vehicle SalesDealershipID #Number of Customer VisitsNumber of Vehicle Sales002443881038612150051,017213107576144008168351113287201153212111522257014326721194991360176091401231,1832890201,254298127137350234711031317131780265854713548412002979018613925561032839158143370930353921531474481070385031111516161540419211971551,301265044254541591,5273241637691721674231001713528517555411910263513810670014111087818611482916311838675122941200
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RSCH 8210 Walden Wk 7 Introduction to Quantitative Analysis ANOVA Research Paper
Assignment: Introduction to Quantitative Analysis: ANOVA To prepare for this Assignment: Review this week’s Learning Resources and media program related to one-way ANOVA testing. Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week. Based on the dataset you chose, construct a research question that can be answered with a one-way ANOVA. Once you perform your one-way ANOVA analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. Do not forget to evaluate if the assumptions of the test are met. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Layout for the assignment First Please add an introduction to your paper before you begin it with tables. This will help organization of your content. Second Identify the dataset Identify the variables Third State the research question Fourth Please evaluate if the assumptions of the test are met. Here is a list of them Seehttps://statistics.laerd.com/statistical-guides/one-way-anova-statistical-guide-2.php Fifth Please evaluate Post-hoc tests with an analysis of the strength of any relationship found (effect size). Sixth Display the data analysis in the output tables with a title and table number that you can reference in the narrative above Seventh Provide an explanation of what the implications of social change might be. 50 Years: Evolving to meet the moment.(2020), (volume 15, Number 2), 41. Retrieved September 23 2020, from https://www.waldenu.edu/-/media/Walden/files/newsroom/alumni-magazines/walden-magazine-15-2.pdf. ConclusionReferences
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Most Popular Content
San Jose State University Normal Distribution Problem
You are the new Vice President of Sales for Penske Motors, one of America’s leading automotive dealership groups that op ...
San Jose State University Normal Distribution Problem
You are the new Vice President of Sales for Penske Motors, one of America’s leading automotive dealership groups that operates over 100 individual dealerships across the country. While you are an experienced marketer, you are new to the automotive business. Naturally, given Murphy’s Law, one of your first recommendations will involve a decision about how the sales operation for all of the company’s dealerships will be structured—and passionate opinions abound on both sides of this issue.Repeated surveys across many years have shown that the U.S. car-buying public hates the traditional new-car buying experience. Typically, this experience involves a great deal of bargaining between the buyer and the salesperson, who usually doesn’t have the authority to make a final decision on the price of the vehicle but must check repeatedly with a sales manager. Consequently, different buyers could end up paying different prices for the same vehicle depending on a number of factors. Most potential customers find this process demeaning, upsetting, and time-wasting. In response, some dealers have begun selling their products in a way that is more agreeable to most Americans: they simply mark the price on the car and the potential buyer either pays that price or doesn’t buy the car. Penske’s California dealerships have been testing this new “flat pricing” policy, while its dealerships in other parts of the country have maintained the traditional, “bargaining” approach.You have a meeting with Roger Penske, himself, next week to recommend which of these sales policies the company should employ (which should give you an idea of the magnitude of this decision since Mr. Penske rarely involves himself in details of the company’s business anymore). Once, long ago, you were a good student of a certain Market Research professor and, if nothing else, you learned to let facts and data help you make better decisions. The question here is which data? The key for the company is what sells the most vehicles, but your company has dealerships of all different sizes and a dozen different brands. Finally, it hits you: one of the most important tools in evaluating salesperson performance is the so-called “closing percentage;” that is, the percentage of customer visits that result in a sales “close” (i.e., the sale of a vehicle).Yelling for your SJSU intern, you quickly send her off to select a random sample of the company’s California dealerships and another of the company’s dealerships elsewhere in the U.S. In each case, your intern is to provide data on the number of customer visits and the number of vehicle sales. This will enable you to calculate a “closing percentage” for each approach and make a recommendation. You have decided to make one of the following recommendations: (1) the new “flat pricing” approach if its “closing percentage” is higher than the traditional “bargaining” approach; (2) the “bargaining” approach if it has a higher “closing percentage” than “flat pricing;” or (3) if the “closing percentages” are statistically equal, maintain both approaches, but expand the test of the “flat pricing” approach to all west coast dealerships and collect customer data nationwide to see which approach leads to more satisfied customers. The data your intern provided is on the next page. Using an alpha of .05 and the 5-step hypothesis-testing process, what will you recommend?Sample of California DealershipsSample of Other U.S. DealershipsDealershipID #Number of Customer VisitsNumber of Vehicle SalesDealershipID #Number of Customer VisitsNumber of Vehicle Sales002443881038612150051,017213107576144008168351113287201153212111522257014326721194991360176091401231,1832890201,254298127137350234711031317131780265854713548412002979018613925561032839158143370930353921531474481070385031111516161540419211971551,301265044254541591,5273241637691721674231001713528517555411910263513810670014111087818611482916311838675122941200
36 pages
Solution To Maths Task Part 2
To investigate the effect of outlier on the correlation coefficient, r. In order to see if the drink sales from a kiosk mi ...
Solution To Maths Task Part 2
To investigate the effect of outlier on the correlation coefficient, r. In order to see if the drink sales from a kiosk might be predicted from daily ...
5 pages
Discussion Categorical Data Analysis
The research question of interest is to test whether the relationship between race of the respondent and political party a ...
Discussion Categorical Data Analysis
The research question of interest is to test whether the relationship between race of the respondent and political party affiliation is significant or ...
Graphing and Describing Data in Everyday Life
Suppose that you have two sets of data to work with. The first set is a list of all the injuries that were seen in a clini ...
Graphing and Describing Data in Everyday Life
Suppose that you have two sets of data to work with. The first set is a list of all the injuries that were seen in a clinic in a month's time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor's office. You can make assumptions about other information or variables that are included in each data set.For each data set, propose your idea of how best to represent the key information. To organize your data would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why?What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph?300 words. 2 references
RSCH 8210 Walden Wk 7 Introduction to Quantitative Analysis ANOVA Research Paper
Assignment: Introduction to Quantitative Analysis: ANOVA To prepare for this Assignment: Review this week’s Learning ...
RSCH 8210 Walden Wk 7 Introduction to Quantitative Analysis ANOVA Research Paper
Assignment: Introduction to Quantitative Analysis: ANOVA To prepare for this Assignment: Review this week’s Learning Resources and media program related to one-way ANOVA testing. Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week. Based on the dataset you chose, construct a research question that can be answered with a one-way ANOVA. Once you perform your one-way ANOVA analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. Do not forget to evaluate if the assumptions of the test are met. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Layout for the assignment First Please add an introduction to your paper before you begin it with tables. This will help organization of your content. Second Identify the dataset Identify the variables Third State the research question Fourth Please evaluate if the assumptions of the test are met. Here is a list of them Seehttps://statistics.laerd.com/statistical-guides/one-way-anova-statistical-guide-2.php Fifth Please evaluate Post-hoc tests with an analysis of the strength of any relationship found (effect size). Sixth Display the data analysis in the output tables with a title and table number that you can reference in the narrative above Seventh Provide an explanation of what the implications of social change might be. 50 Years: Evolving to meet the moment.(2020), (volume 15, Number 2), 41. Retrieved September 23 2020, from https://www.waldenu.edu/-/media/Walden/files/newsroom/alumni-magazines/walden-magazine-15-2.pdf. ConclusionReferences
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