Chapter 9: Hypothesis Testing

In hypothesis testing, the hypothesis which is tentatively assumed to be true is called the
1. correct hypothesis
2. null hypothesis
3. alternative hypothesis
4. level of significance
When the null hypothesis has been true, but the sample information has resulted in the rejection of the null, a _________ has been made.
1. level of significance
2. Type II error
3. critical value
4. Type I error
The maximum probability of a Type I error that the decision maker will tolerate is called the
1. level of significance
2. critical value
3. decision value
4. probability value
A Type II error is the error of
1. accepting Ho when it is false
2. accepting Ho when it is true
3. rejecting Ho when it is false
4. rejecting Ho when it is true
For finding the p-value when the population standard deviation is unknown, if it is reasonable to assume that the population is normal, we use
1. the z distribution
2. the t distribution with n - 1 degrees of freedom
3. the t distribution with n + 1 degrees of freedom
4. none of the above
A hypothesis test in which rejection of the null hypothesis occurs for values of the point estimator in either tail of the sampling distribution is called
1. the null hypothesis
2. the alternative hypothesis
3. a one tailed test
4. a two tailed test
In hypothesis testing, the level of significance is
1. the probability of committing a Type II error
2. the probability of committing a Type I error
3. the probability of either a Type I or Type II depending on the hypothesis to be tested
4. none of the above
In hypothesis testing, β is
1. the probability of committing a Type II error
2. the probability of committing a Type I error
3. the probability of either a Type I or Type II, depending on the hypothesis to be tested
4. none of the above
When testing the following hypotheses at an α level of significance
Ho: p ≤ 0.7
Ha: p > 0.7
The null hypothesis will be rejected if the test statistic Z is
1. z > zα
2. z < zα
3. z < -zα
4. none of the above
Which of the following does not need to be known in order to compute the P-value?
1. knowledge of whether the test is one-tailed or two-tailed
2. the value of the test statistic
3. the level of significance
4. All of the above are needed
5. none of the above