Complete the following table, one is done for you:
| S. No. | Test For | Name of the Test | Test Statistic | Assumptions for Applying the Test | Test Type |
| 1 | Population mean when population variance is known and population is normal | Z-test | 1. Sample observations should be independent. 2. The measurement scale should be at least interval scale. | Parametric Test | |
| 2 | Population mean when population variance is unknown and population is normal |
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| 3 | Population mean/median when the form of population is not known and sample size is small |
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| 4 | Population mean/median when the form of population is not known and the data is in ordinal scale and sample |
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| size is small |
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| 5 | Population variance when the population is normal distributed and sample size is small |
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| 6 | Independence of Two Attributes |
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2. Measurement scale should be at least interval. | Parametric Test | | 2 | Population mean when population variance is unknown and population is normal | t-test | $t = \frac{X - \mu}{s / \sqrt{n}}$ | 1. Sample observations are independent.
2. Population is approximately normal.
3. Measurement scale is at least interval. | Parametric Test | | 3
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