Which of the following is not necessary to determine how large a sample to selec

Question

Which of the following is not necessary to determine how large a sample to select from a population? For a population that is not normally distributed, the distribution of the sample means will Assuming a standard deviation of 3 hours, what is the required sample size if the error is to be less than 1/2 hour with a 99% level of confidence? If the alternate hypothesis states that mu does not equal 4,000, what is the rejection region for the hypothesis test? What are the two rejection areas in using a two-tailed test and the 0 01 level of significance? The level of significance: You are given the following hypotheses: H_0: mu = 400 H_1: mu 400 For a random sample of 12 observations, the sample mean was 407 and the sample standard deviation 6. Using the .01 significance level, what is the value of the rest statistic?

Explanation / Answer

Answer to the question# 24)
The formula of sample size is:

n = (Z*s / e)

where z is the cirtical value coresponding to the confidence level

s = sample standard deviation, it can be derived from sample varaince

and e is the maximum permissable error

.

In this formula we do not need to know the population size

thus the only factor we do not need is the population siz e

hence the correct answer choice is : d

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