Difference between revisions of "Students t-test"
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| − | The '''students t-test''' is a method of testing hypotheses in statistics. Specifically, the test is a way to measure the significance of a difference of means between two distributions, such as an observed distribution compared to the [[Normal distribution]]. | + | The '''students t-test''' is a method of testing hypotheses in statistics. Specifically, the test is a way to measure the significance of a difference of means between two distributions, such as an observed distribution compared to the [[Normal distribution]]. The test relies on assumptions of normal distribution, non-sphericity, kurtosis and heteroskedasticity. |
Often the '''students t-test''' is used when comparing the mean between two groups, even if the standard deviations of the two groups are unknown. | Often the '''students t-test''' is used when comparing the mean between two groups, even if the standard deviations of the two groups are unknown. | ||
| − | [[ | + | [[Category:Statistics]] |
Latest revision as of 17:58, July 11, 2016
The students t-test is a method of testing hypotheses in statistics. Specifically, the test is a way to measure the significance of a difference of means between two distributions, such as an observed distribution compared to the Normal distribution. The test relies on assumptions of normal distribution, non-sphericity, kurtosis and heteroskedasticity.
Often the students t-test is used when comparing the mean between two groups, even if the standard deviations of the two groups are unknown.