Here is a sample of amounts of weight change (kg) of college students in their freshman year:15,7,4,−5,where −5 represents a loss of 5 kg and positive values represent weight gained. Here are ten bootstrap samples: (15,15,15,4),(15,-5,4,15),(15,-5,7,4),(7,-5,4,15),(4,4,4,7),(7,-5,7,-5),(15,7,-5,4),(-5,7,-5,7),(-5,4,-5,7),(7,15,15,15). Complete parts (a) and (b). 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. 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.
Here is a sample of amounts of weight change (kg) of college students in their freshman year:15,7,4,−5,where −5 represents a loss of 5 kg and positive values represent weight gained. Here are ten bootstrap samples: (15,15,15,4),(15,-5,4,15),(15,-5,7,4),(7,-5,4,15),(4,4,4,7),(7,-5,7,-5),(15,7,-5,4),(-5,7,-5,7),(-5,4,-5,7),(7,15,15,15). Complete parts (a) and (b). 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. 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.
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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Here is a sample of amounts of weight change (kg) of college students in their freshman year:15,7,4,−5,where −5 represents a loss of 5 kg and positive values represent weight gained. Here are ten bootstrap samples: (15,15,15,4),(15,-5,4,15),(15,-5,7,4),(7,-5,4,15),(4,4,4,7),(7,-5,7,-5),(15,7,-5,4),(-5,7,-5,7),(-5,4,-5,7),(7,15,15,15). Complete parts (a) and (b).
A. Using only the ten given bootstrap samples, construct an 80% confidence
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.
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