If a particular batch of data is approximately normally distributed, we would find that approximately 1. You are offered a choice where you can take a certain amount of $ 20 or partake in a gamble, where you put up $30 and have a 50% chance of winning $50 and 50% chance of winning $10. The decision tree is drawn for you. What should you do–take the $20 or gamble? Content Editor 1. You are offered a choice where you can take a certain amount of $ 20 or partake in a gamble, where you put up $30 and have a 50% chance of winning $50 and 50% chance of winning $10. The decision tree is drawn for you. How much should you expect to make? Content Editor 1. A researcher wants to estimate the average price of television sets sold at Wal-Mart. It is assumed from previous studies that ? = 45. To estimate the average price within $10 with 95% confidence, what sample size should be used? All that is needed is the answer. However, if you would like the possibility of partial credit, show me your work. (Don’t worry about formatting or symbols.) 1. Customers at Ingles have a choice when paying for their groceries. They may check out and pay using the standard cashier assisted checkout, or they may use a new U-Scan procedure. In the standard procedure an Ingles employee scans each item and another employee puts it in a bag and then into the grocery cart. In the U-Scan procedure the customer scans each item, bags it, and places the bags in the cart themselves. The U-Scan procedure is designed to reduce the time a customer spends in the check out line. The store manger wants to know if the mean checkout time using the standard checkout method is longer than using the U-Scan. She gathered the following sample information. The time is measured from when the customer enters the line until their bags are in the cart. Hence the time includes both waiting in line and checking out. Mean (minutes) Standard deviation (minutes) Sample Size Standard 5.5 0.4 50 U-Scan 5.3 0.3 100 What are the null and alternative hypotheses that management would be testing? (Don’t worry about formatting your answer.) 1. Customers at Ingles have a choice when paying for their groceries. They may check out and pay using the standard cashier assisted checkout, or they may use a new U-Scan procedure. In the standard procedure an Ingles employee scans each item and another employee puts it in a bag and then into the grocery cart. In the U-Scan procedure the customer scans each item, bags it, and places the bags in the cart themselves. The U-Scan procedure is designed to reduce the time a customer spends in the check out line. The store manger wants to know if the mean checkout time using the standard checkout method is longer than using the U-Scan. She gathered the following sample information. The time is measured from when the customer enters the line until their bags are in the cart. Hence the time includes both waiting in line and checking out. Mean (minutes) Standard deviation (minutes) Sample Size Standard 5.5 0.4 50 U-Scan 5.3 0.3 100 If ? = .05 and if the Excel output shows that p-value = 0.0013, would you reject Ho? Why or why not? 1. Customers at Ingles have a choice when paying for their groceries. They may check out and pay using the standard cashier assisted checkout, or they may use a new U-Scan procedure. In the standard procedure an Ingles employee scans each item and another employee puts it in a bag and then into the grocery cart. In the U-Scan procedure the customer scans each item, bags it, and places the bags in the cart themselves. The U-Scan procedure is designed to reduce the time a customer spends in the check out line. The store manger wants to know if the mean checkout time using the standard checkout method is longer than using the U-Scan. She gathered the following sample information. The time is measured from when the customer enters the line until their bags are in
the cart. Hence the time includes both waiting in line and checking out. Mean (minutes) Standard deviation (minutes) Sample Size Standard 5.5 0.4 50 U-Scan 5.3 0.3 100 Can we conclude that the U-Scan system is better than the standard checkout? 1. The following data represent the age of batteries (in hours) for a random sample of 10 full charges on a fifth generation iPod music player: 2. The following Excel output was obtained. What is the point estimate of the population mean? 3. 1. A sample of scores on an examination given in two different classes is examined. The following Excel output was obtained. Use ? = .05. Does Class 2 have a different grade? 1. Auto, Inc., a fictional automobile manufacturer, is interested in estimating the value derived from a proposed Strategic Alternative (SA). The SA, posed by the CEO of the company, is to acquire an elite, high-end auto company where the average retail price of a car is $80,000. As part of this task, the acquisition team develops a three-year market analysis to determine if adequate market demand exists for luxury automobiles. The team chooses to use the predictive power of regression analysis to help make these projections. The first step in this process is to understand what drives total market demand for elite, high-end luxury automobiles. After analyzing the industry, the group hypothesizes that gross domestic product, or GDP, is a key predictor of market demand for these automobiles. To gather historical GDP data, the team turns to online databases located on the Federal Reserve Board website.To gather data on new vehicle sales for elite, high-end luxury cars, it uses the Bureau of Labor Statistics’ online databases on new vehicle car sales. (The GDP data is in billions of dollars and the sales data is in thousands of units.) Is GDP a valid predictor of sales? How do you know? 1. Auto, Inc., a fictional automobile manufacturer, is interested in estimating the value derived from a proposed Strategic Alternative (SA). The SA, posed by the CEO of the company, is to acquire an elite, high-end auto company where the average retail price of a car is $80,000. As part of this task, the acquisition team develops a three-year market analysis to determine if adequate market demand exists for luxury automobiles. The team chooses to use the predictive power of regression analysis to help make these projections. The first step in this process is to understand what drives total market demand for elite, high-end luxury automobiles. After analyzing the industry, the group hypothesizes that gross domestic product, or GDP, is a key predictor of market demand for these automobiles. To gather historical GDP data, the team turns to online databases located on the Federal Reserve Board website.To gather data on new vehicle sales for elite, high-end luxury cars, it uses the Bureau of Labor Statistics’ online databases on new vehicle car sales. (The GDP data is in billions of dollars and the sales data is in thousands of units.) If the GDP is at 12,000 billion dollars, how many thousands of units of cars would you expect to be sold? 1. Auto, Inc., a fictional automobile manufacturer, is interested in estimating the value derived from a proposed Strategic Alternative (SA). The SA, posed by the CEO of the company, is to acquire an elite, high-end auto company where the average retail price of a car is $80,000. As part of this task, the acquisition team develops a three-year market analysis to determine if adequate market demand exists for luxury automobiles. The team chooses to use the predictive power of regression analysis to help make these projections. The first step in this process is to understand what drives total market demand for elite, high-end luxury automobiles. After analyzing the industry, the group hypothesizes that gross domestic product, or GDP, is a key predictor of market demand for these automobiles.