Here is a sample of amounts of weight change (kg) of college students in their freshman year: 14, 4, 2,-7, where -7 represents a loss of 7 kg and positive values represent weight gained. Here are ten bootstrap samples: (14, 14, 14, 2), (14, -7, 2, 14), (14, -7, 4, 2), (4, -7, 2, 14), (2, 2, 2, 4), (4. -7, 4, -7), (14, 4, -7, 2). (-7, 4. -7, 4). (-7, 2, -7, 4), (4, 14, 14, 14). 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. -1.7 kg
Here is a sample of amounts of weight change (kg) of college students in their freshman year: 14, 4, 2,-7, where -7 represents a loss of 7 kg and positive values represent weight gained. Here are ten bootstrap samples: (14, 14, 14, 2), (14, -7, 2, 14), (14, -7, 4, 2), (4, -7, 2, 14), (2, 2, 2, 4), (4. -7, 4, -7), (14, 4, -7, 2). (-7, 4. -7, 4). (-7, 2, -7, 4), (4, 14, 14, 14). 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. -1.7 kg
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Transcribed Image Text:Here is a sample of amounts of weight change (kg) of college students in their freshman year: 14, 4, 2, -7, where -7 represents a loss of 7 kg and positive values represent weight gained. Here are ten bootstrap samples: {14, 14, 14, 2).
(14, -7, 2, 14), (14, -7, 4, 2), (4,-7, 2, 14). (2, 2, 2, 4), (4. -7, 4, -7). (14, 4, -7, 2), (-7, 4, -7, 4), (-7, 2, -7, 4). (4, 14, 14, 14). 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.
-1.7 kg <u< 11.2 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.
kg <s< kg
(Round to one decimal place as needed.)
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