Here is a sample of amounts of weight change (kg) of college students in their freshman year. 11. 8, 0, - 5, where - 5 represents a loss of 5 kg and positive values represent weight gained. Here are ten bootstrap samples: (11, 11, 11. 0). (11, -5. 0, 11). (11, -5. 8, 0). (8. - 5. 0. 11). (0. 0, 0. 8). (8. -5. 8. - 5). (11, 8. -5. 0). (-5. 8. -5. 8). (-5.0. -5. 8). (8. 11, 11, 11). O Complete parts (a) and (b) below. a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the mean weight change for the population. Round to one decimal place as needed.) b. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the standard deviation of the weight changes for the population. (Round to one decimal place as needed)

Find coefficient of association between literacy and employment and comment on your result using the following information. Total number of adults=1000,Total number of literates=129 Total number of unemployed=139,Total number of literates unemployed=82

In 2016 the Better Business Bureau settled 84% of complaints they received in the United States. Suppose you have been hired by the Better Business Bureau to investigate the complaints they received this year involving new car dealers. You plan to select a sample of new car dealer complaints to estimate the proportion of complaints the Better Business Bureau is able to settle. Assume the population proportion of complaints settled for new car dealers is 0.84, the same as the overall proportion of complaints settled in 2016. Use the z-table. a. Suppose you select a sample of 200 complaints involving new car dealers. Show the sampling distribution of p. E(p) (to 2 decimals) (to 4 decimals) b. Based upon a sample of 200 complaints, what is the probability that the sample proportion will be within 0.04 of the population proportion (to 4 decimals)? probability : = c. Suppose you select a sample of 460 complaints involving new car dealers. Show the sampling distribution of p. E(F) (to 2…

For each pair of quantities, decide if the correlation coefficient would be close to 1, close to -1, or not be close to 1 or -1. Part: 0/4 Part 1 of 4 (a) The number of hours a student spends studying and the score on that student's exam. The correlation coefficient would be close to 1 Part: 1/4 Part 2 of 4 Part: 2/4 X (b) The number of hours a student spends studying and the number of letters in that student's name. The correlation coefficient would be close to -1 Part 3 of 4 X Ś X Ś (c) The number of hours an overweight person spends exercising and that person's weight. The correlation coefficient would be close to 1 5