Step 3We found xo 025 = 23.337 and x975 = 4.404. Recall the sample standard deviation s = 12.95, and sample20.975size n = 13.Substitute these values to first find the lower bound for the confidence interval of the population variance,rounding the result to three decimal places.(n – 1)s?2lower bound(13 – 1)12.952Now substitute these values to find the upper bound for the confidence interval of the population variance,rounding the result to three decimal places.(n - 1)s2upper bound =X1- a/2(13 – 1)12.952Therefore, a 95% confidence interval for the population variance for the underpricing-overpricing indicator isto

Name: Step 3We found xo 025 = 23.337 and x975 = 4.404. Recall the sample st
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Description: Step 3We found xo 025 = 23.337 and x975 = 4.404. Recall the sample standard deviation s = 12.95, and sample20.975size n = 13.Substitute these values to first find the lower bound for the confidence interval of the population variance,rounding the re

Given : Χ0.0252=23.337Χ0.9752=4.404s2=12.95n=13

Math

Statistics

We found xo.025 - 23.337 and xo.975 - 4.404. Recall the sample standard deviation s = 12.95, and sample size n - 13. Substitute these values to first find the lower bound for the confidence interval of the population variance, rounding the result to three decimal places. (n – 1)s2 xa/2 (13 - 1)12.952 lower bound - Now substitute these values to find the upper bound for the confidence interval of the population variance, rounding the result to three decimal places. (n – 1)s2 upper bound - X1- a/2 (13 – 1)12.952 Therefore, a 95% confidence interval for the population variance for the underpricing-overpricing indicator is to

We found xo.025 - 23.337 and xo.975 - 4.404. Recall the sample standard deviation s = 12.95, and sample size n - 13. Substitute these values to first find the lower bound for the confidence interval of the population variance, rounding the result to three decimal places. (n – 1)s2 xa/2 (13 - 1)12.952 lower bound - Now substitute these values to find the upper bound for the confidence interval of the population variance, rounding the result to three decimal places. (n – 1)s2 upper bound - X1- a/2 (13 – 1)12.952 Therefore, a 95% confidence interval for the population variance for the underpricing-overpricing indicator is to

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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