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8 Cards in this Set
- Front
- Back
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Null Hypothesis |
The statement that population parameter is equal to a specific value or that the population parameter from two or more groups are equal. |
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Alternative Hypothesis |
The statement paired with a null hypothesis that is mutually exclusive to the null hypothesis. |
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Test Statistic |
The value based on the sample statistic and the sampling distribution for the sample statistic. Example, when testing whether the mean of a population is equal to a specific value, the sample statistic is the mean. The test statistic is based on the difference between the sample mean and population mean stated in the null hypothesis. |
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Type I Error |
The error that occurs if the null hypothesis is rejected when it is true and should not be rejected. The risk of the error occurring is identified by the Greek lowercase alpha. Common values are 0.01, 0.05 and 0.10. |
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Type II Error |
The error that occurs if the null hypothesis is not rejected when it is false and should be rejected. The risk of the error occurring is identified by the Greek lowercase beta. |
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p-value |
The probability of computing a test statistic equal to or more extreme than the sample results, given the null hypothesis is true. |
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Two-tail test |
Test for alternative hypothesis that uses the not-equal sign. |
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One-tail test |
Test for alternative hypothesis that contains an inequality. |
