the mean score on a standerdized exam was 74 with a standerd deviation of 8.3. a random sample of 35 students was selected and their mean score on that exam was calculated. the mean belongeds to sampling distribution. what is the mean of this sampling distribution? Part B. what is the standerd deviation of this sampling distribution?  Part C. which of the following most closely defines the central limit theorem? a. All sampling distrib are approx normal, regardless of sample size? b. as long as the sample size is sufficiently large the sampling distribution of the sample mean is approx normal, regardless of the distrib of the population.  c. all sampling distributions are approximatly normal if the population is large enough. d. the sampling distrib of the sample mean looks more like the population distribution as the sample size increases.  Part D what is a type 2 error?

MATLAB: An Introduction with Applications
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the mean score on a standerdized exam was 74 with a standerd deviation of 8.3. a random sample of 35 students was selected and their mean score on that exam was calculated. the mean belongeds to sampling distribution. what is the mean of this sampling distribution?

Part B. what is the standerd deviation of this sampling distribution? 

Part C. which of the following most closely defines the central limit theorem?

a. All sampling distrib are approx normal, regardless of sample size?

b. as long as the sample size is sufficiently large the sampling distribution of the sample mean is approx normal, regardless of the distrib of the population. 

c. all sampling distributions are approximatly normal if the population is large enough.

d. the sampling distrib of the sample mean looks more like the population distribution as the sample size increases. 

Part D what is a type 2 error?

 

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