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1
The null hypothesis always states
A)A hypothesized value for a population parameter.
B)That a population parameter is equal to a hypothesized value.
C)That a population parameter is less than or equal to a hypothesized value.
D)That a population parameter is greater than or equal to a hypothesized value.
2
Which of the following statements is true about the alternate hypothesis?
A)It Is accepted if the null hypothesis is rejected.
B)It will always contain the equal sign.
C)It is rejected if the null hypothesis is true.
D)It is accepted if the null hypothesis is accepted.
3
Which of the following statements is true about the level of significance?
A)It is a probability.
B)It can be any value between 0 and 1.
C)It is the likelihood of rejecting the null hypothesis when it is true.
D)All of the above.
4
A Type I error is
A)Calculated from sample information.
B)A probability determined from the test statistic.
C)The probability of rejecting the null hypothesis when it is true.
D)The probability of accepting the null hypothesis when it is false.
5
The critical value is
A)Calculated from sample information.
B)Is always positive.
C)The point that divides the acceptance region from the rejection region.
D)A probability determined from the test statistic.
6
In a one-tailed test, the
A)Rejection region is in only one of the tails of a distribution.
B)Rejection region is split between the tails of a distribution.
C)P-value is always less than the significance level.
D)P-value is always more than the significance level.
7
To conduct a one sample test of means and use the z distribution as the test statistic, we need
A)To know the population mean.
B)To know the population standard deviation.
C)n to be less than 5.
D)Both a and b are correct.
8
A p-value is the
A)Same as the population proportion.
B)Same as the significance level.
C)Fraction of the population that has a particular characteristic.
D)Probability of finding a value of the test statistic this extreme when the null hypothesis is true.
9
A Type II error occurs when we
A)Accept the null hypothesis when it is false.
B)Reject the alternate hypothesis when it is true.
C)Reject the null hypothesis when it is false.
D)Accept the null hypothesis when it is true.
10
Which of the following statements are correct when deciding whether to use the z or the t distribution?
A)Use z in a test of proportions when and nπ and n(1 – π) are greater than or equal to 5.
B)Use z when we have a normal population and we know the standard deviation.
C)Use t when the population is normal and the population standard deviation is not known
D)All of the above statements are correct.





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