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Basic principles and concepts of inferential statistics

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The following essay questions review the basic principles and concepts of inferential statistics. The order of the questions roughly follows the five step model.

a. Hypothesis testing or significance testing can be conducted only with a random sample. Why?

b. Under what specific conditions can it be assumed that the sampling distribution is normal in shape?

c. Explain the role of the sampling distribution in a test of hypothesis.

d. The null hypothesis is an assumption about reality that makes it possible to test sample outcomes for their significance. Explain.

e. What is the critical region? How is the size of the critical region determined?

f. Describe a research situation in which a one tailed test of hypothesis would be appropriate.

g. Thinking about the shape of the sampling distribution, why does use of the t distribution (as opposed to the Z distribution) make it more difficult to reject the null hypothesis?

h. What exactly can be concluded in the one sample case when the test statistic falls into the critical region?

Reference no: EM131797650

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