How can we tell if the sample size is big enough before applying the Central Limit Theorem? (Let n be the sample size and let p-hat be the proportion of the sample having the desired characteristic.) CHOOSE ALL THAT APPLY A. n(p-hat) has to be less than or = to 10. B. n(p-hat) has to be greater than or = 10 AND n(1 - p-hat) has to be greater than or = to 10. C. There has to be at least 10 success and 10 failures. D. The sample size has to be at least 50. E. The sample size has to be at least 100.
How can we tell if the sample size is big enough before applying the Central Limit Theorem? (Let n be the sample size and let p-hat be the proportion of the sample having the desired characteristic.) CHOOSE ALL THAT APPLY A. n(p-hat) has to be less than or = to 10. B. n(p-hat) has to be greater than or = 10 AND n(1 - p-hat) has to be greater than or = to 10. C. There has to be at least 10 success and 10 failures. D. The sample size has to be at least 50. E. The sample size has to be at least 100.
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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How can we tell if the sample size is big enough before applying the Central Limit Theorem? (Let n be the sample size and let p-hat be the proportion of the sample having the desired characteristic.) CHOOSE ALL THAT APPLY
A.
n(p-hat) has to be less than or = to 10.
B.
n(p-hat) has to be greater than or = 10 AND n(1 - p-hat) has to be greater than or = to 10.
C.
There has to be at least 10 success and 10 failures.
D.
The sample size has to be at least 50.
E.
The sample size has to be at least 100.
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