The payoff matrix and strategies P and Q (for the row and column players, respectively) are given. Find the expected payoff E of each game. (Round your answer to two decimal places.) [232] E = P = []} Q-
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- 13.4 #8 A research article on the effect of multitasking on grade performance describes an experiment in which 62 undergraduate business students were randomly assigned to one of two experimental groups. Students in one group were asked to listen to a lecture but were told that they were permitted to use cell phones to send text messages during the lecture. Students in the second group listened to the same lecture but were not permitted to send text messages. Afterwards, students in both groups took a quiz on material covered in the lecture. Data from this experiment are summarized in the accompanying table. ExperimentalGroup GroupSize Mean QuizScore StandardDeviation ofQuiz Scores Texting 31 42.56 9.24 No Texting 31 58.61 10.76 Use the given information to construct a 90% confidence interval for the difference in mean quiz score for the two treatments (texting allowed and texting not allowed). (Use ?no texting − ?texting. Use SALT. Round your answers to three…1.1 The alternative hypothesis is: H1: CVD and Enrollment Site are dependent. H1: The correlation between CVD and Site is zero. H1: CVD and Enrollment Site are independent. H1: The covariance between CVD and Enrollment Site is negative. H1: The covariance between CVD and Site is zero. H1: The covariance between CVD and Enrollment Site is positive. 1.2 Under independence, calculate the expected number of patients with a family history of CVD, at Hospital 2. 1.3 A necessary condition to perform the hypothesis test is: The observed frequencies must be at least 5. The expected frequencies must be at least 5. The expected frequencies must be at least 30. The cell χ2-values must be at least z0.975=1.96. The row and column totals must be at least 3030. The cell χ2-values must be at least z0.95=1.645. The observed frequencies must be at least 30. The sample size must be at least 30. 1.4 Since the critical value is - we have sufficient evidence - the null hypothesis at α=0.01 level of…8A.If there is no seasonal effect on people getting sick, we would expect equal numbers of people getting sick in each season (winter, spring, summer and fall). A student takes a census of students who took Marketing Research in 2019 and finds that of the 280 students who took Marketing Research in 2019, 75 were sick in winter, 65 were sick in spring, 68 were sick in summer and 72 were sick in fall. She wonders if the excess in the winter is an indication that sickness rates are not uniform throughout the year. Perform the appropriate chi-square test and indicate the chi-square value below. (Report two decimals) QUESTION 8b Indicate whether the associated p-value for the chi-square value you calculated for question 8 is significant. Yes No
- A researcher investigates whether cold medication effects mental alertness. It is known that scores on a standardized test containing a variety of problem-solving tasks are normally distributed with = 64 and = 8. A random sample of n = 16 teenage and a sample of n = 25 adults are given the drug and then tested. On average, the teenagers scored and average of ? = 58 and the adults scored and average of M = 65.5.a. Are the data sufficient to conclude that the medication significantly reduces mental alertness in teenagers? Test with = .01.b. Are the data sufficient to conclude that the medication significantly increases mental alertness in adults? Test with = .01.Suppose in a tournament with only three players left, first place receives $6,000, second place receives $3,000, and third place receives $500. You have a 32% chance of winning first place, 30% chance of winning second place, and 38% chance of winning third place. a. What would be your expected winnings in this tournament? b. The tournament organizer gives you the option to continue playing or stop and split the total prize money, proportional to your current standings. If you currently have 700 of the 1800 chips currently in play, how much would you win if you stopped playing and split the winnings? c. Based on parts a and b, should you continue playing or stop and split the money? Why?Given that the σ_AB= σ_BA, then the variance-covariance matrix for a portfolio with 50 stocks requires the calculations of ____ variances and ____ covariances.
- 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 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 8 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day 1 2 3 4 5 6 7 8 Store 1 889 699 534 398 432 213 252 929 Store 2 479 525 252 364 160 32 234 632 Difference(Store 1 - Store 2) 410 174 282 34 272 181 18 297 Send data to calculator Based on these data, can the owner conclude, at the 0.10 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis test regarding μd (which is μ…In the Chernobyl nuclear accident it is estimated that 30,000 people received an average dose of 45 REM. For this population, using the linear hypothesis, how many "normal" deaths from cancer are expected and how many additional deaths from the radiation of the accident? Group of answer choices 500 normal, 6000 additional 1000 normal, 4000 additional 2000 normal, 3000 additional 4000 normal, 1000 additional 6000 normal, 500 additionalch 15 end. 6: In the book Business Research Methods (5th ed.), Donald R. Cooper and C. William Emory discuss studying the relationship between on-the-job accidents and smoking. Cooper and Emory describe the study as follows: Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She interviews members of both groups to determine if they are smokers or not.
- 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 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 sample of days. After choosing a random sample of 12 days, she records the sales (in dollars) for each store on these days, as shown in the table below. Day 1 2 3 4 5 6 7 8 9 10 11 12 Store 1 504 909 591 658 232 697 236 425 659 625 737 772 Store 2 298 845 660 635 31 572 400 455 745 554 518 753 Difference(Store 1 - Store 2) 206 64 −69 23 201 125 −164 −30 −86 71 219 19 Send data to calculator Based on these data, can the owner conclude, at the 0.05 level of…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 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 sample of days. After choosing a random sample of 12 days, she records the sales (in dollars) for each store on these days, as shown in the table below. Day 1 2 3 4 5 6 7 8 9 10 11 12 Store 1 941 734 877 300 517 805 441 557 496 727 556 785 Store 2 676 787 750 253 514 646 276 672 495 757 700 730 Difference(Store 1 - Store 2) 265 −53 127 47 3 159 165 −115 1 −30 −144 55 Based on these data, can the owner conclude, at the 0.10 level of significance, that the mean daily sales of the two…7.6 A leading researcher in the study of interstate highway accidents proposes that a major cause of many collisions on the interstates is not the speed of the vehicles but rather the difference in speeds of the vehicles. When some vehicles are traveling slowly while other vehicles are traveling at speeds greatly in excess of the speed limit, the faster-moving vehicles may have to change lanes quickly, which can increase the chance of an accident. Thus, when there is a large variation in the speeds of the vehicles in a given location on the interstate, there may be a larger number of accidents than when the traffic is moving at a more uniform speed. The researcher believes that when the standard deviation in speed of vehicles exceeds 10 mph, the rate of accidents is greatly increased. During a 1-hour period of time, a random sample of 50 vehicles is selected from a section of an interstate known to have a high rate of accidents, and their speeds are recorded using a radar gun. The data…