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Viewer ratings A city has two competitive television stations, station
(A) Find the optimal strategies for station
(B) What is the expected value of the game for
(C) What is the expected value of the game for
(D) What is the expected value of the game for
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Chapter 11 Solutions
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
Additional Math Textbook Solutions
Mathematics with Applications In the Management, Natural and Social Sciences (11th Edition)
Using and Understanding Mathematics: A Quantitative Reasoning Approach (6th Edition)
Thinking Mathematically (7th Edition)
A Problem Solving Approach to Mathematics for Elementary School Teachers (12th Edition)
Mathematics with Applications In the Management, Natural, and Social Sciences (12th Edition)
- 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.arrow_forwardA company produces handmade shawls and afghans. They spin the yarn, dye it, and then weave it. A shawl requires 1 hour of spinning, 1 hour of dyeing, and 1 hour of weaving. An afghan requires 1 hour of spinning, 4 hours of dyeing, and 2 hours of weaving. There are at most 6 hours available each day for spinning, 14 hours for dyeing, and 8 hours for weaving. Summarize the data in a table. Use the table to write a system of inequalities. Then graph the feasible region. Complete the table. Hours Hours Hours Number Spinning Dyeing Weaving Shawls Afghans Maximum Number y 14 8 of Hours Availablearrow_forwardDescribe the structure of the data. Is it different than data you have examined before? Specifically, there are 24 rows in this data set, but the set provides information about 4,526 observations (the sum of the "count" column). Describe what each row represents. Each of the six departments (A-F) have four rows of data in this set corresponding to each of the following. 1st row Males who were admitted 2nd row Males who were not admitted 3rd row 4th row Females Females Of the 4,526 applicants in this data set, 1,755 were admitted for an overall admission rate of approximately 39%. The admission rate for males was 45%, while the admission rate for females was 30%. Complete the following table using Section 3 in the Tutorial or by adding up the counts by hand for each category. (For example: add up all counts where Admission = 1 and Sex = 1 to get the number of males who were admitted.) Sex Number Admitted Male Female who were admitted who were not admitted 1198 557 Number Rejected 1493…arrow_forward
- depending The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 12 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day Store 1 Store 2 144Hz Difference (Store 1 - Store 2) Send data to calculator H :O 0 1 TT Explanation 233 116 Check 117 V 2 355 3 ننا 4 394 503 146 275 644 5 485 581 6 (a) State the null hypothesis Ho and the alternative hypothesis H₁. 0 784 505 727 209 119 -141 -96 57 O Search 7 428 N 00 8 853 723 9 205 366 77 130 - 161 10 Based on these data, can the owner conclude, at the 0.05 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis test regarding μ (which is μ with a letter "d" subscript), the…arrow_forwardYear No. of Eastern Bluebird 1970 200 1975 300 1980 125 1985 250 1990 425 1995 450 2000 575 2005 675 2010 500 can you please solve f ,g and h a) Make a scatter plot of the number of birds vs. year record. b) Create a table with this data that compares Years Since 1900 vs. the number of birds. Fill in extra columns for Years-Since-Squared and Years*Birds. Complete the table by adding rows for column totals and column averages. c) Calculate the linear regression for this model. e) Calculate the correlation coefficient for this model. f) Translate your linear regression so that the model is now Year vs. Number of birds. g) Add the model to your scatter plot. h) Compute the residual errors for your model. i) Plot your residual errors. j) Interpolate your model to find the number of birds in 1983 and 2001.arrow_forwardThe owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 12 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. 5 6 7 Day Store 1 Store 2 1 Difference (Store 1 - Store 2) Send data to calculator ✓ 2 3 786 878 827 645 708 500 699 140 Yes No 4 646 802 712 579 527 367 76 115 66 181 133 8 (a) State the null hypothesis H and the alternative hypothesis H₁. H:D H₁:0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) ▼ 970 9 10 11 12 618 679 762 635 271 572 324 215 698 530 Based on these data, can the owner conclude, at the 0.05 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis…arrow_forward
- 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.arrow_forwardThe flu shot for a flu season is created from four strains of the flu virus, named Strain A, B, C, and D, respectively. Medical researchers use the following data to determine the effectiveness of the vaccine over the flu season. Table 1 shows the effectiveness of the vaccine against each of these strains individually. The graph below the table shows the prevalence of each of these strains during each month of the flu season, represented as a percentage of the overall cases of flu that month. Table 1 Strain Effectiveness A 35% B 13% 76% 68% 35 30 20 15 10 Oct Nov Dec Jan Feb Mar Time (months) Flu Prevalance (% of all cases} Aarrow_forwardU.S. Divisions and Regions. The U.S. Census Bureau classifies the states in the United States by region and division. The data giving the region and division of each state are presented on the WeissStats site. Use the technology of your choice to determine the mode(s) of the a. regions. b. divisions.arrow_forward
- RBI Kings. As reported on MLB.com, the five players with the highest runs batted in (RBI) during the 2012 Major League Baseball season are listed in the following table. Also included are the teams for which they played, their positions, and their weights. Identify the type of data provided by the information in each column of the table. Player Team Position RBI Weight (lb) M. Cabrera Detroit 3B 139 240 J. Hamilton Texas LE 128 225 C. Headley San Diego 3B 115 220 R. Braun Milwaukee LE 112 205 E. Encamacion Toronto IB 110 230arrow_forwardDoctors at a technology research facility randomly assigned people to use computer keyboards in two rooms. In one room a group of people typed a manuscript using standard keyboards, while in the other room a second group of people typed the same manuscript using ergonomic keyboards to see if those people could type more words per minute. The table shows the resulting data. Standard Ergonomic Words per Words per minute minute 12 43 38 35 21 35 28 69 18 58 45 52 40 36 42 37 52 38 19 47 24 46 63 58arrow_forwardA social media app is conducting a study on the amount of time users spend on the app. They collect the following variables. Age Years: How old they are in years? Income: Monthly Income Location: What country do they live in? Device: Do they use an iPhone, Samsung, other? Service: Who provides their mobile phone service? For example: T-Mobile, At&t, Verizon, ect Hours: How many hours do they spend on the app per week. A) Which variable could the research construct a one proportion z-interval for? B) The social media app just launched a new algorithm that suggest content in an effort to increase the amount of time the user spends on the app. The researchers want to use the survey results to see if there is statistically significant evidence that on average users spend more than 10 hours per week on the social media app. The researchers found in their sample of 44 users, the mean hours spent on the app is 10.5 hours with a standard deviation of 5.675 hours. Which type of hypothesis test…arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtCalculus For The Life SciencesCalculusISBN:9780321964038Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.Publisher:Pearson Addison Wesley,