Hypothesis Testing Quiz

Which of the following will produce a correct decision?

• rejecting a false hypothesis

• rejecting a true null hypothesis

• failure to reject a false hypothesis

• failure to reject a true null hypothesis

If a result is said to be significant at 5% level, what does it mean?

• the null hypothesis is 5% true

• the null hypothesis is 5% incorrect

• we fail to reject the false null hypothesis 5% of the time

• there is a 5% probability that a true null hypothesis is rejected

Which value separates the critical region from the non-critical region in a normal curve when testing a hypothesis?

• t-value

• z-value

• critical value

• computed value

What should be the decision if the computed z-value lies in the critical region?

• reject the null hypothesis

• reject the alternative hypothesis

• do not reject the null hypothesis

• do not reject the alternative hypothesis

The mean height of women is greater than 64” (inches). Which of the following represents the null and alternative hypothesis?

• H_o: p = 64"

  Ha: p = 64"

What is the last step in the hypothesis testing procedure?

• Draw conclusion

• Choose the level of significance

• State the null and alternative hypothesis

• Determine the test statistic and compute it

A one sample t-test is conducted on Ho: μ = 81.6. The sample mean is 84.1, s = 3.1, n = 25, and α = 0.01. State your null and alternative hypotheses.

Perform a hypothesis test on the null hypothesis where μ = 6.9. A random sample of 25 items is selected. The sample mean is 7.1 and the sample standard deviation is 2.4. It can be assumed that the population is normally distributed at α = 0.01.

• There is enough evidence to reject the claim.

• There is enough evidence to support the claim

• There is not enough evidence to reject the claim

• There is not enough evidence to support the claim

In a right-tailed test, what will you do if the critical value is greater than the computed value?

• Reject the null hypothesis

• Reject the alternative hypothesis

• Do not reject the null hypothesis

• Fail to reject the alternative hypothesis

When the null hypothesis is rejected, which of the following statements is true?

• The null hypothesis is incorrect

• The alternative hypothesis is true

• There is enough evidence against the null hypothesis

• There is a very small probability that the given null hypothesis is true.