Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.6 5.4 6.7 5.7 6.8 6.2 Bank B 6.3 4.1 7.1 6.7 Construct a 95% confidence interval for the population standard deviation o at Bank A. min

In 2007, the United States experienced the biggest jump in food prices in 17 years (The Wall Street Journal, April 1, 2008). A variety of reasons led to this result, including rising demand for meat and dairy products in emerging overseas markets, increased use of grains for alternative fuels, and bad weather in some parts of the world. A survey compared prices (in $) of selected products at grocery stores in the Boston area. The accompanying table shows the results. Item Crosby’s Shaw’s Market Basket Two-liter Coke   1.79 1.59   1.50 Doritos chips   4.29   4.99   3.50 Cheerios cereal   3.69   2.99   3.00 Prince spaghetti   1.59   1.69   1.99 Skippy peanut butter   5.49   4.49   3.99 Cracker Barrel cheese   4.99   4.99   3.49 Pepperidge Farm white bread   3.99   3.99   3.99 Oreo cookies   4.69   3.39   3.00 One dozen eggs*   2.49   2.69   1.59 Coffee*   4.49   4.79   3.99 Gallon of milk*   3.69   3.19   1.59 In a report, use the sample information to…

An online clothing company is keeping track of their customers purchases. Company also offers a credit card where customers get additional offers if they use that card when they make purchases from their online store. For those customers who has their credit card, the company has additional information such as age, yearly income, etc. The company management is interested in looking at the relationship between the income (in 1000s of dollars) and the total yearly purchases from their store for these credit card holders . They have gathered this information from a random sample of 42 credit card holders. Below provided is a partial MINITAB output for predicting the yearly purchases from the income.   Identify the response and the predictor variable in this study. Write the equation of the least squares regression line for predicting the total yearly purchase from the income of the customer. What percentage of variation in total yearly purchase is explained by income of the customer?…

In your position as a chief credit officer for a large department store chain, you must decide how to arrange data regarding the credit trends of your customers. Information has been collected on the marital status (married, divorced, single, widowed), and type of credit card used most ( VISA, MasterCard, Carte Blanc, American Express). How can you display the data in a form that will quickly convey meaning?

A Pew Internet Project Data Memo presented data comparing adult gamers with teen gamers with respect to the devices on which they play. The data are from two surveys. The adult survey had 1063 gamers, while the teen survey had 1064 gamers. The memo reports that 54% of adult gamers played on game consoles (Xbox, PlayStation, Wii, etc.), while 89% of teen gamers played on game consoles.   (a) Refer to the table that appears at the beginning of this section (page 344). Fill in the numerical values of all quantities that are known. (b) Find the estimate of the difference between the proportion of teen gamers who played on game consoles and the proportion of adults who played on these devices. (c) Is the large-sample confidence interval for the difference in two proportions appropriate to use in this setting? Explain your answer.

Bi-lo Appliance Super-Store has outlets in several large metropolitan areas in New England. The general sales manager aired a commercial for a digital camera on selected local TV stations prior to a sale starting on Saturday and ending Sunday. She obtained the information for Saturday–Sunday digital camera sales at the various outlets and paired it with the number of times the advertisement was shown on the local TV stations. The purpose is to find whether there is any relationship between the number of times the advertisement was aired and digital camera sales. The pairings are: What is the dependent variable?, Draw a scatter diagram. Determine the correlation coefficient. Interpret these statistical measures.

Bi-lo Appliance Super-Store has outlets in several large metropolitan areas in New England. The general sales manager aired a commercial for a digital camera on selected local TV stations prior to a sale starting on Saturday and ending Sunday. She obtained the information for Saturday–Sunday digital camera sales at the various outlets and paired it with the number of times the advertisement was shown on the local TV stations. The purpose is to find whether there is any relationship between the number of times the advertisement was aired and digital camera sales. The pairings are: Location of Number of Saturday–Sunday Sales TV Station Airings ($ thousands) Providence 4 15 Springfield 2              8 New Haven 5           21 Boston 6                       24 Hartford 3                           17   A. Calculate the correlation value (r)! B. Test the hypothesis (t)! C. Interpret each of your answers!

Bi-lo Appliance Super-Store has outlets in several large metropolitan areas in New England. The general sales manager aired a commercial for a digital camera on selected local TV stations prior to a sale starting on Saturday and ending Sunday. She obtained the information for Saturday–Sunday digital camera sales at the various outlets and paired it with the number of times the advertisement was shown on the local TV stations. The purpose is to find whether there is any relationship between the number of times the advertisement was aired and digital camera sales. The pairings are: Location of Number of Saturday–Sunday Sales TV Station Airings ($ thousands) Providence 4 15 Springfield 2              8 New Haven 5           21 Boston 6                       24 Hartford 3                           17 a. What is the dependent variable? b Determine corelation coefficient c. Interpret these statistical measures

Intergarated products Need to estimate its pc sales for the nextnext year. the most recent six years of revenue data for the companys line of xt personal computers and those of the industry, is found in the table below; Year XT PC Sales (000,000) All Industry PC Sales Revenue 1 2.4 4.6 2 5.9 8.6 3 15.5 10.7 4 27.8 14.8 5 35.9 18.5 6 38.1 19.4 a) Assuming that the sales data above are representative of sales expected next year , use time series regression analysis to forecast next years sales b) determine the correlation correlation for he ime forecast and interpret is meaning c) find the coefficient of determination for the time series forecast and intpret it s meaning d) perform a regression analysis between the annual sales revenues of XT Personal computers and all personal computers if the estimate of next years industry PC sales revenues is $21.9 billion? e) which independent variable should intergrated products coporation IPC choose for its forcasting of sales…

Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s) ($ millions) Company A 11.5 120 Company B 10.0 133 Company C 9.0 102 Company D 5.5 37 Company E 4.2 42 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160T 160 160- 140- 140 140 140 120 120 120 120- 100 100 100 100- 80 80 80 80 60 60 60 60 .. . 40 40 .. 40 40 20 20 20 20 4 6 8 10 12 14 2 4 8 10 12 14 2 4 6 8 10 12 14 2 4 6 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship between…