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Find the critical values X1-α/2 and x for a 90% confidence level and a sample size of n = 15. x/2 1-α/2 = 0 (Round to three decimal places as needed.) X²α/2= (Round to three decimal places as needed.)

Find the critical values X1-α/2 and x for a 90% confidence level and a sample size of n = 15. x/2 1-α/2 = 0 (Round to three decimal places as needed.) X²α/2= (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
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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This problem has 2 parts, please complete part a and b:)

Find the critical values x²1-a/2 and x²α/2 for a 90% confidence level and a sample size of n = 15. X²1-α/2 -0 (Round to three decimal places as needed.) x²x12 (Round to three decimal places as needed.)
Transcribed Image Text:Find the critical values x²1-a/2 and x²α/2 for a 90% confidence level and a sample size of n = 15. X²1-α/2 -0 (Round to three decimal places as needed.) x²x12 (Round to three decimal places as needed.)
Explain what "99% confidence" means in a 99% confidence interval. What does "99% confidence" mean in a 99% confidence interval? OA. The confidence interval includes 99% of all possible values for the parameter. OB. If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 99 of the intervals to include the parameter and 1 to not include the parameter. OC. The probability that the value of the parameter lies between the lower and upper bounds of the interval is 99%. The probability that it does not is 1%. O D. The value of the parameter lies within 99% of a standard deviation of the estimate.
Transcribed Image Text:Explain what "99% confidence" means in a 99% confidence interval. What does "99% confidence" mean in a 99% confidence interval? OA. The confidence interval includes 99% of all possible values for the parameter. OB. If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 99 of the intervals to include the parameter and 1 to not include the parameter. OC. The probability that the value of the parameter lies between the lower and upper bounds of the interval is 99%. The probability that it does not is 1%. O D. The value of the parameter lies within 99% of a standard deviation of the estimate.
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