Description |
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Why to use | To determine if a single group differs significantly from a known or a hypothesized value. | ||
When to use |
| When not to use |
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Prerequisites |
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Input | Numeric dataset | Output |
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Statistical Methods Used |
| Limitations | If the values of many data entries are the same, the test may produce incorrect results. |
The system calculates the p value in this test and compares it with the alpha value.
Criteria | Interpretation |
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When the p-value is greater than alpha an alternative hypothesis can either be "Two-sided" or "One-sided (less than)" or "One-sided (greater than)". | As the p-value is greater than alpha, the population median does not differ from the hypothesized median. |
When the p-value is less than or equal to alpha and the alternative hypothesis is equal to" Two-sided". | As the p-value is less than or equal to alpha, the population median differs from the hypothesized median. |
When the p-value is less than equal to alpha and the alternative hypothesis is equal to "One-sided(less than)". | As the p-value is less than or equal to alpha, the population median is less than the hypothesized median. |
When the p-value is less than equal to alpha and the alternative hypothesis is equal to "One-sided (greater than)". | As the p-value is less than or equal to alpha, the population median is greater than the population median hypothesized median. |