39) Please answer Part A and BA) 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 interval estimate of the standard deviation of the weight changes for the population. KHere is a sample of amounts of weight change (kg) of college students in their freshman year: 10, 5, 1, -5, where- 5 represents a loss of 5 kg and positive values represent weight gained. Here are ten bootstrap samples:{10, 10, 10, 1}, {10, 5, 1, 10}, {10, 5, 5, 1}, {5, -5, 1, 10}, {1, 1, 1, 5}, {5, 5, 5, -5}, {10, 5, 5, 1},{-5, 5, 5, 5}, {-5, 1, 5, 5}, {5, 10, 10, 10). Complete parts (a) and (b) below.a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the mean weightchange for the population.kg < μ <kg(Round to one decimal place as needed.)

To construct the confidence interval estimates, we can use the bootstrap method. Here's how we can…

Answered: Here is a sample of amounts of weight…

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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39) Please answer Part 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.

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.

K
Here is a sample of amounts of weight change (kg) of college students in their freshman year: 10, 5, 1, -5, where
- 5 represents a loss of 5 kg and positive values represent weight gained. Here are ten bootstrap samples:
{10, 10, 10, 1}, {10, 5, 1, 10}, {10, 5, 5, 1}, {5, -5, 1, 10}, {1, 1, 1, 5}, {5, 5, 5, -5}, {10, 5, 5, 1},
{-5, 5, 5, 5}, {-5, 1, 5, 5}, {5, 10, 10, 10). 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.)

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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