The hypothesis that an analyst is trying to prove is called the:

A. quality of the researcher

B. alternative hypothesis

C. elective hypothesis

D. level of significance

2. The “Pizza Hot” manager commits a Type I error if he/she is

A. staying with old style when new style is no better than old style

B. switching to new style when it is better than old style

C. switching to new style when it is no better than old style

D. staying with old style when new style is better

3. A two-tailed test is one where:

A. no results lead to the rejection of the null hypothesis

B. negative sample means lead to rejection of the null hypothesis

C. results in either of two directions can lead to rejection of the null hypothesis

D. results in only one direction can lead to rejection of the null hypothesis

4. The null and alternative hypotheses divide all possibilities into:

A. Two sets that overlap

B. Two sets that may or may not overlap

C. As many sets as necessary to cover all possibilities

D. Two non-overlapping sets

5. A severe storm has an average peak wave height of 16.4 feet for waves hitting the shore. Suppose that a storm is in progress with a severe storm class rating. Let us say that we want to set up a statistical test to see if the wave action (i.e., height) is dying down or getting worse. If you wanted to test the hypothesis that the waves are dying down, what would you use for the alternate hypothesis? Is the P-value area on the left, right, or on both sides of the mean?

A.H ₁ : µ is not equal to 16.4 feet; the P-value area is on the right of the mean

B.H ₁ : µ is greater than 16.4 feet; the P-value area is on the left of the mean

C.H ₁ : µ is greater than 16.4 feet; the P-value area is on both sides of the mean

D.H ₁ : µ is less than 16.4 feet; the P-value area is on the left of the mean