The confidence interval for the population variance was found to be 86.233 to 456.955. However, a confidence interval for the population standard deviation is needed. Recall that the standard deviation is the positive square root of the variance. Therefore, the confidence interval for the standard deviation can be found by taking the positive square root of the lower and upper bounds for the variance. Substitute a? = 86.233 to find the lower bound for the confidence interval of the population standard deviation, rounding the result to two decimal places. lower bound of a - V lower bound of a2 Substitute o2 = 456.955 to find the upper bound for the confidence interval of the population standard deviation, rounding the result to two decimal places. upper bound of a - V upper bound of a² Therefore, a 95% confidence interval for the population standard deviation for the underpricing-overpricing indicator is from a lower bound of | to an upper bound of
The confidence interval for the population variance was found to be 86.233 to 456.955. However, a confidence interval for the population standard deviation is needed. Recall that the standard deviation is the positive square root of the variance. Therefore, the confidence interval for the standard deviation can be found by taking the positive square root of the lower and upper bounds for the variance. Substitute a? = 86.233 to find the lower bound for the confidence interval of the population standard deviation, rounding the result to two decimal places. lower bound of a - V lower bound of a2 Substitute o2 = 456.955 to find the upper bound for the confidence interval of the population standard deviation, rounding the result to two decimal places. upper bound of a - V upper bound of a² Therefore, a 95% confidence interval for the population standard deviation for the underpricing-overpricing indicator is from a lower bound of | to an upper bound of
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 confidence interval for the population variance was found to be 86.233 to 456.955. However, a confidence
interval for the population standard deviation is needed. Recall that the standard deviation is the positive
square root of the variance. Therefore, the confidence interval for the standard deviation can be found by
taking the positive square root of the lower and upper bounds for the variance.
Substitute o? = 86.233 to find the lower bound for the confidence interval of the population standard
deviation, rounding the result to two decimal places.
lower bound of o - V lower bound of o?
Substitute o2 = 456.955 to find the upper bound for the confidence interval of the population standard
deviation, rounding the result to two decimal places.
upper bound of a = V upper bound of a
Therefore, a 95% confidence interval for the population standard deviation for the underpricing-overpricing
indicator is from a lower bound of
to an upper bound of](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc754fcbc-47de-4905-bc20-92b693330107%2Faf21acd4-cd2d-4ba2-890d-8fe0158faf85%2Fywl5g7r_processed.png&w=3840&q=75)
Transcribed Image Text:The confidence interval for the population variance was found to be 86.233 to 456.955. However, a confidence
interval for the population standard deviation is needed. Recall that the standard deviation is the positive
square root of the variance. Therefore, the confidence interval for the standard deviation can be found by
taking the positive square root of the lower and upper bounds for the variance.
Substitute o? = 86.233 to find the lower bound for the confidence interval of the population standard
deviation, rounding the result to two decimal places.
lower bound of o - V lower bound of o?
Substitute o2 = 456.955 to find the upper bound for the confidence interval of the population standard
deviation, rounding the result to two decimal places.
upper bound of a = V upper bound of a
Therefore, a 95% confidence interval for the population standard deviation for the underpricing-overpricing
indicator is from a lower bound of
to an upper bound of
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