ce - S² is greater than or equal to 7.50, and less than or equal to 2.50 are given below for sample 16, 32 and 48. n = 16 n= 32 n= 48 P(S²>= 7.50) 0.0953 0.0364 0.0148 P(S² <= 2.50) 0.0577 0.0092 0.0016 are the results for the probabilities that the sample variance is greater than or equal to 7.44 and less or equal to 2.56, with increased sample size. he probabilities decrease as n increase. As n increases, the sample variances should deviate the population variance. Therefore, the likelihood of obtaining a sample variance greater smaller than the population variance decreases he probabilities decrease as n increase. As n increase, the sample variances should approach the population variance. Therefore, the likelihood of obtaining a sample variance greater smaller than the population variance decreases he probabilities increase as n increase. As n increases, the sample variances should approach the population variance. Therefore, the likelihood of obtaining a sample variance reater or smaller than the population variance increases he probabilities increase as n increase. As n increases, the sample variances should approach the population variance. Therefore, the likelihood of obtaining a sample variance reater or smaller than the population variance decreases
ce - S² is greater than or equal to 7.50, and less than or equal to 2.50 are given below for sample 16, 32 and 48. n = 16 n= 32 n= 48 P(S²>= 7.50) 0.0953 0.0364 0.0148 P(S² <= 2.50) 0.0577 0.0092 0.0016 are the results for the probabilities that the sample variance is greater than or equal to 7.44 and less or equal to 2.56, with increased sample size. he probabilities decrease as n increase. As n increases, the sample variances should deviate the population variance. Therefore, the likelihood of obtaining a sample variance greater smaller than the population variance decreases he probabilities decrease as n increase. As n increase, the sample variances should approach the population variance. Therefore, the likelihood of obtaining a sample variance greater smaller than the population variance decreases he probabilities increase as n increase. As n increases, the sample variances should approach the population variance. Therefore, the likelihood of obtaining a sample variance reater or smaller than the population variance increases he probabilities increase as n increase. As n increases, the sample variances should approach the population variance. Therefore, the likelihood of obtaining a sample variance reater or smaller than the population variance decreases
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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