(6) The dotplot below is a bootstrap distribution of 3,000 bootstrap sample correlations from an original random sample of size n = 50. Bootstrap Dotplot of cortion Two Tall Right Tall (a) (c) 60 50 (d) 40 30 20 10 Leh Tall -0.6 -0.4 -0.2 0.0 0.105 0.2 0.4 samples 1000 men-0.105 sd error-8.242 0.6 0.8 (b) Use the 95% rule and the standard error SE=0.242 to give a 95% confidence interval for the population correlation. Use the dotplot to estimate the value of the original sample correlation. Use the percentile method to estimate a 99% confidence interval for the population correlation. Indicate the number of dots that you exclude from each tail. Suppose the relevant population correlation is the correlation between car depreciation and the new price of a car. If a 90% confidence interval for the population correlation is (-0.296, 0.489), is it plausible that there is no correlation between car depreciation and the new price of the car? Why or why not?
(6) The dotplot below is a bootstrap distribution of 3,000 bootstrap sample correlations from an original random sample of size n = 50. Bootstrap Dotplot of cortion Two Tall Right Tall (a) (c) 60 50 (d) 40 30 20 10 Leh Tall -0.6 -0.4 -0.2 0.0 0.105 0.2 0.4 samples 1000 men-0.105 sd error-8.242 0.6 0.8 (b) Use the 95% rule and the standard error SE=0.242 to give a 95% confidence interval for the population correlation. Use the dotplot to estimate the value of the original sample correlation. Use the percentile method to estimate a 99% confidence interval for the population correlation. Indicate the number of dots that you exclude from each tail. Suppose the relevant population correlation is the correlation between car depreciation and the new price of a car. If a 90% confidence interval for the population correlation is (-0.296, 0.489), is it plausible that there is no correlation between car depreciation and the new price of the car? Why or why not?
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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The objective is to define the 95% and 99% confidence intervals for the true population correlation. And the validity of the claim that there is no correlation between "car depreciation" and the "new price of the car" is tested for the provided 90% confidence interval.
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