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

What is the linear pattern of 4500 students in 2014 and 3700 students in 2019

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.

Office-chair racing is now an official sport in Japan. Teams of 3 race around a 200-meter circuit for 2 hours to see who can complete the most laps. Tonya, an office-chair racing coach, contacts the top 5 teams and randomly assigns them to complete a practice race using one of two popular brands of office chair: Brand A and Brand B. In a different time period, the same teams complete a practice race using the opposite brand of chair. Here are the data: A 2-column table with 5 rows. Column 1 is labeled Brand A with entries 116, 107, 101, 97, 94. Column 2 is labeled Brand B with entries 114, 102, 100, 94, 90. Calculate the mean difference (Brand A – Brand B) and the standard deviation of the differences.

Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.

A popular summer event is Skee-Ball. For $2, a customer purchases three balls and attempts to roll each ball into a central target. The customer wins their $2 back and wins an additional $1 if they hit the target once, an additional $3 if they hit the target twice and an additional $5 if they hit the target three times. If the customer does not hit the target at all, they lose their initial $2. Access the data set labeled ”Skee-Ball” which reports the outcomes of 2,500 games for a single day’s operation of a Skee-Ball booth. (a) Define a random variable C (Customer Score) equal to the number of times a customer hits the target in each set of three rolls. How many possible outcomes of C are there? Report your answer as an integer. (b) Report the net profit ($) that the Skee-Ball booth achieved for the day. Report your answer as an integer. Hint: Estimate the PDF of C based on the relative frequencies: P(C = c) = Frequency of C = c / 2,500 (c) Report P(C = 0). Round your answer to three…

uppose Laura, a facilities manager at a health and wellness company, wants to estimate the difference in the average amount of time that men and women spend at the company's fitness centers each week. Laura randomly selects 13 adult male fitness center members from the membership database and then selects 13 adult female members from the database. Laura gathers data from the past month containing logged time at the fitness center for these members. She plans to use the data to estimate the difference in the time men and women spend per week at the fitness center. The sample statistics are summarized in the table. Population Populationdescription Population mean(unknown) Samplesize Sample mean(min) Sample standarddeviation (min) 1 male ?1 ?1=13 ?⎯⎯⎯1=132.5 ?1=45.3 2 female ?2 ?2=13 ?⎯⎯⎯2=108.7 ?2=31.1   df=21.256 The population standard deviations are unknown and unlikely to be equal, based on the sample data. Laura plans to use the two-sample ?-procedures to estimate the…

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

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: What is the dependent variable?, Draw a scatter diagram. Determine the correlation coefficient. Interpret these statistical measures.