from two competing teams in the finals in the 20 games they played during the entire season. Who is more consistent? Player 1 Player 2 Mean 23 23 Standard Deviation 4.94 3.13 O The players are equally consistent since they have the same mean scores. O Player 2 is more consistent than Player 1 since Player 2 has a lower standard deviation. O Player 1 is more consistent than Player 2 since Player 2 has a lower standard deviation. Player 2 is more consistent than Player 1 since Player 1 has a lower standard deviation.
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- 12 Kimberly and Alexis began arguing about who did better on their tests, but they couldn't decide who did better given that they took different tests. Kimberly took a test in Math and earned a 76.4, and Alexis took a test in Social Studies and earned a 63.2. Use the fact that all the students' test grades in the Math class had a mean of 76.8 and a standard deviation of 9.9, and all the students' test grades in Social Studies had a mean of 62.6 and a standard deviation of 9 to answer the following questions.a) Calculate the z-score for Kimberly's test grade.z= [Round your answer to two decimal places.]b) Calculate the z-score for Alexis's test grade.Help with finding Pvalue & test statistic7. A set of data has a variance of 81. What is the standard deviation? SAMSUNG
- Imagine you were chosen as the coach of the Philippine National Men's Basketball team. You have to choose the last player to be included in the roster. You have to choose between two players. The two players have basically the same characteristics whether physical or actual game statistics. They have the same age, height, weight, wingspan, average points, rebounds, assists, steals, and blocks per game. Their only difference lies in the standard deviations for their points per game. Player 1 has a standard deviation of 5 while Player 2 has a standard deviation of 10. Who would you choose and why? 5 sentencesYou are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and a neutral group. For the happy group there are 5 participants and the mean risky decision making score 5.0 with a standard deviation of 0.7. For the sad group there are 5 participants and the mean risky decision making score 5.4 with a standard deviation of 1.1. For the neutral group there are 5 participants and the mean risky decision making score 5.8 with a standard deviation of 2.8. The sum of squares between samples is equal to 1.6. The sum of squares within samples is equal to 38.0. You calculated the f-ratio above. The corresponding p-value for the f-ratio you calculated is p = 0.78. Is this finding significant?12. (Two Samples) According to a survey, the mean price of gasoline in the United States was $1.20 per gallon in 1995 and $1.10 per gallon in 1994. (U.S. News & World Report, June 12, 1995). Suppose these means were based on random samples of 100 gasoline stations for 1995 and 120 gasoline stations for 1994. Also, assume that the sample standard deviations were $0.11 for 1995 and $0.10 for 1994. a. Construct a 98% confidence interval for the difference between the mean gasoline prices for 1995 & 1994. b. Test at the 1% significance level if the mean gasoline price was higher in 1995 than in 1994.
- Team A: 6,6,7,7,6,5,6,5,4,5 Team B: 2,2,3,8,9,9,9,9,10,10 a. Compute the mean number of shots made for each team b. Compute the standard deviation for each team c. Compute a Z-score for the individual from team A that made 4 shots d. Compute a Z-score for the individual from team B who made 10 shots e. Using non-statistical language, write several sentences describing the difference in the free-throw shooting abilities between the two teamsLogan and Brian began arguing about who did better on their tests, but they couldn't decide who did better given that they took different tests. Logan took a test in Art History and earned a 76.8, and Brian took a test in English and earned a 68.9. Use the fact that all the students' test grades in the Art History class had a mean of 71.9 and a standard deviation of 11.6, and all the students' test grades in English had a mean of 61 and a standard deviation of 9.4 to answer the following questions.a) Calculate the z-score for Logan's test grade.z=z= [Round your answer to two decimal places.] b) Calculate the z-score for Brian's test grade.z=z= [Round your answer to two decimal places.]c) Which person did relatively better? Logan Brian They did equally well.5: What is the variance of the following set of scores? 8, 8, 8, 8, 8
- Lucille, Rocio, and Cristina are all taking College Mathematics but from different professors. They all recently took a statistics exam and the exam scores were normally distributed in each of their classes. • Lucille's class had an average grade of 78 and the standard deviation was 7. Lucille earned 83.95 on the exam. • Rocio's class had an average grade of 82 and the standard deviation was 3. Rocio earned 86.5 on the exam. • Cristina's class had an average grade of 76 and the standard deviation was 4. Cristina earmed 82.8 on the exam. Since some professors give harder exams than others, these students decided to use statistics to figure out who did the best on their exam. Use the Cumulative Z-Score Table to answer the following questions. Write your answers as a percent with two decimal places. Hint • Lucille's score places her above % of her class. • Rocio's score places her above % of her class. • Cristina's score places her above % of her class.Justin and Robbie are golfers. The distribution of Justin's golf scores has a mean of 225 and a standard deviation of 25. Robbie's golf score distribution has a mean of 240 and a standard deviation of 15. Both distributions are approximately normal and they are completely independent of each other. What is the closest probability that Justin will have a higher golf score than Robbie in a randomly selected golf round?A mathematics professor one to determine whether there is a different in the final average just between the past two semester (semester 1 and semester 2) of his business is statistics classes. For a random sample of 16 students from semester 1, the mean of the final averages was 75 with a standard deviation of 4. For a random sample of 9 students from semester 2, the mean was 73 with a standard deviation of 6. Choose the correct answer