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education/statistics/Hypothesis Tests.md
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@ -21,6 +21,10 @@ Then you can provide a conclusion based off of either the null hypothesis, or th
| Two tailed test | Use when something is *not equal* to the expected. It's called a two tailed test because the area of significance has two sides. You can find the likelihood of ending up on one side, and the likelihood of ending up on another side, and adding them together (or multiplying by 2 if it's the same on each). | | Two tailed test | Use when something is *not equal* to the expected. It's called a two tailed test because the area of significance has two sides. You can find the likelihood of ending up on one side, and the likelihood of ending up on another side, and adding them together (or multiplying by 2 if it's the same on each). |
## z tests for averages ## z tests for averages
This test will look very similar to a z test for percentages, it still requires that a large, random, sample was given. This test will look very similar to a z test for percentages, it still requires that a large, random, sample was given.
## t tests for averages
This test is used when you have a small sample size (lt 30).
The only major differences used with a *t* test is that you use SD+, and
## P Value ## P Value
The chance of observing at least a sample statistic, or something more extreme, if the null hypothesis is true. The chance of observing at least a sample statistic, or something more extreme, if the null hypothesis is true.
If the p-value is less than *5*%, reject the null hypothesis. If the p-value is less than *5*%, reject the null hypothesis.