1342 - Final Review Questions - Test #4

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What is the null hypothesis in hypothesis testing?

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The null hypothesis (H0) is a statement that there is no effect or no difference, and it serves as the default assumption that any observed effect is due to sampling variability.

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What is the alternative hypothesis in hypothesis testing?

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The alternative hypothesis (Ha) is a statement that indicates the presence of an effect or a difference. It is what the researcher aims to support.

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What does a left-tailed hypothesis test evaluate?

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A left-tailed hypothesis test evaluates whether the parameter of interest is less than a specified value.

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How do you calculate the test statistic for a sample mean?

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What is the significance level (alpha) in hypothesis testing?

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The significance level (alpha) is the probability of rejecting the null hypothesis when it is actually true. Common values are 0.05, 0.01, and 0.10.

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What is a critical value in hypothesis testing?

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A critical value is a threshold that determines the boundary for rejecting the null hypothesis. It is based on the significance level and the distribution of the test statistic.

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What does it mean to 'fail to reject the null hypothesis'?

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Failing to reject the null hypothesis means that there is not enough evidence to support the alternative hypothesis, and the null hypothesis remains a plausible explanation.

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What is a two-tailed hypothesis test?

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A two-tailed hypothesis test evaluates whether the parameter of interest is significantly different from a specified value, considering both directions (greater than and less than).

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How do you determine the rejection region in hypothesis testing?

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The rejection region is determined by the critical values based on the significance level. If the test statistic falls within this region, the null hypothesis is rejected.

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What is the formula for calculating the sample mean?

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