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.
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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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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