Question 34

To test a certain hypotheses, you conducted two hypotheses tests. Test 1 gave a P-value of 0.052 and test 2 gave a P-value of 0.015.

Which one of the two tests offers a stronger evidence against the null hypotheses?

Test 2.

The proofs are equally strong.

We can not tell.

Question 36

Nielsen Media Research indicated that the mean CNN viewing audience was 600,000 viewers per day during 2002. A 90% confidence interval for the population mean of the audience was (594,684, 629,316).

CNN would like to determine if the size of their viewing audience has changed. ( = 10%)

Test the claim using the confidence interval.

We accept H0.

we reject H0.

We fail to reject H0.

Question 37

We are interested in estimating the proportion of students at a university who smoke. Out of a random sample of 200 students from this university, 40 students smoke.

Which type of statistical inference is this?

One proportion z-confidence interval.

One proportion z- hypothesis test.

One mean t- hypothesis test.

Question 39

A simple random sample, which was normally distributed, of 50 men from a certain population gives body mass index (BMI) with mean 30.5 and standard deviation 10.64. Can we conclude that the BMI is not 35?

Which type of statistical inference is this?

One proportion z- hypothesis test.

One mean t-confidence interval.

One mean t- hypothesis test.