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If a hypothesis test has a Type I error probability of .05, that means:

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if the null hypothesis is true, it will be rejected 5% of the time.

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For a two-tailed test with a sample size of 40, the null hypothesis will not be rejected at a 5% level of significance if the test statistic is:

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between -1.960 and 1.960, exclusively.

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An example of statistical inference is:

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hypothesis testing.

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A two-tailed test is a:

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hypothesis test in which rejection region is in both tails of the sampling distribution.

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In order to test the hypotheses H0: Î¼ â‰¤ 100 and Ha: Î¼ > 100 at an Î± level of significance, the null hypothesis will be rejected if the test statistic z is:

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â‰¥ zÎ±

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The level of significance is the:

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maximum allowable probability of Type I error.

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When the p-value is used for hypothesis testing, the null hypothesis is rejected if:

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p-value â‰¤ Î±

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In hypothesis testing, the hypothesis tentatively assumed to be true is:

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the null hypothesis.

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The level of significance in hypothesis testing is the probability of:

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rejecting a true null hypothesis.

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The error of rejecting a true null hypothesis is:

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a Type I error.

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The probability of making a Type I error is denoted by:

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Î±

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In tests about a population proportion, p0 represents the:

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hypothesized population proportion.

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If a hypothesis test leads to the rejection of the null hypothesis, a:

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Type I error may have been committed.

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In hypothesis testing, the alternative hypothesis is:

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the hypothesis concluded to be true if the null hypothesis is rejected.

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If the cost of a Type I error is high, a smaller value should be chosen for the:

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level of significance.

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A two-tailed test is performed at a 5% level of significance. The p-value is determined to be .09. The null hypothesis:

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should not be rejected.

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Two approaches to drawing a conclusion in a hypothesis test are:

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p-value and critical value.

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In hypothesis testing, the critical value is:

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a number that establishes the boundary of the rejection region.

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For a two-tailed hypothesis test about a population mean, the null hypothesis can be rejected if the confidence interval:

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does not include Î¼0.

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As a general guideline, the research hypothesis should be stated as the:

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alternative hypothesis.

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A p-value is the:

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probability, when the null hypothesis is true, of obtaining a sample result that is at least as unlikely as what is observed.

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If a hypothesis is not rejected at a 5% level of significance, it will:

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also not be rejected at the 1% level.

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When the rejection region is in the lower tail of the sampling distribution, the p-value is the area under the curve:

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less than or equal to the test statistic.