Here is a sample of amounts of weight change (kg) of college students in their freshman year: 15, 5, – 1, - 3, where - 3 represents a loss of 3 kg and positive values represent weight gained. Here are ten bootstrap samples: {15, 15, 15, - 1}, {15, - 3, - 1, 15}, {15, – 3, 5, - 1}, {5, – 3, – 1, 15}, {– 1, – 1, – 1, 5}, {5, – 3, 5, - 3}, {15, 5, – 3, – 1}, {– 3, 5, – 3, 5}, {-3, – 1, - 3, 5}, {5, 15, 15, 15}. 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. kg < µ< kg (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. O kg

Here is a sample of amounts of weight change (kg) of college students in their freshman year: 15, 5, – 1, - 3, where - 3 represents a loss of 3 kg and positive values represent weight gained. Here are ten bootstrap samples: {15, 15, 15, - 1}, {15, - 3, - 1, 15}, {15, – 3, 5, - 1}, {5, – 3, – 1, 15}, {– 1, – 1, – 1, 5}, {5, – 3, 5, - 3}, {15, 5, – 3, – 1}, {– 3, 5, – 3, 5}, {-3, – 1, - 3, 5}, {5, 15, 15, 15}. 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. kg < µ< kg (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. O kg

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Description: Here is a sample of amounts of weight change (kg) of college students in their freshman year: 15, 5, - 1, - 3, where- 3 represents a loss of 3 kg and positive values represent weight gained. Here are ten bootstrap samples:{15, 15, 15, - 1}, {15, - 3

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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