Here is a sample of amounts of weight change(kg) of college students in their freshman year: 11,2,-1,-6, where -6 represents a loss of 6 kg and positive values represent weight gained. Here are ten bootstrap samples: {11,11,11,-1}, {11,-6,-1,11}, {11,-6,2,-1}, {2,-6,-1,11},{-1,-1,-1,2}, {2,-6,2,-6}, {11,2,-6,-1}, {-6,2,-6,2}, {-6,-1,-6,2}, {2,11,11,11}. a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the mean weight change for the population. b. Using only the ten given bootstrap samples, construct an 80% confidence intervalestimate of the standard deviation of the weight changes for the population.
Here is a sample of amounts of weight change(kg) of college students in their freshman year: 11,2,-1,-6, where -6 represents a loss of 6 kg and positive values represent weight gained. Here are ten bootstrap samples: {11,11,11,-1}, {11,-6,-1,11}, {11,-6,2,-1}, {2,-6,-1,11},{-1,-1,-1,2}, {2,-6,2,-6}, {11,2,-6,-1}, {-6,2,-6,2}, {-6,-1,-6,2}, {2,11,11,11}. a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the mean weight change for the population. b. Using only the ten given bootstrap samples, construct an 80% confidence intervalestimate of the standard deviation of the weight changes for the population.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Here is a sample of amounts of weight change(kg) of college students in their freshman year: 11,2,-1,-6, where -6 represents a loss of 6 kg and positive values represent weight gained. Here are ten bootstrap samples: {11,11,11,-1}, {11,-6,-1,11}, {11,-6,2,-1}, {2,-6,-1,11},{-1,-1,-1,2}, {2,-6,2,-6}, {11,2,-6,-1}, {-6,2,-6,2}, {-6,-1,-6,2}, {2,11,11,11}.
a. Using only the ten given bootstrap samples, construct an 80% confidence
b. Using only the ten given bootstrap samples, construct an 80% confidence intervalestimate of the standard deviation of the weight changes for the population.
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