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		| @@ -49,10 +49,21 @@ Degrees of freedom ($df$) can be found by subtracting 1 from the sample size. Th | ||||
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| The equivalent of $normalcdf$ for a t test is $tcdf$. This function returns a percentage. | ||||
| ## 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, evidence. | ||||
| If the **p-value is greater than *5*%, fail to reject** the null hypothesis, not enough evidence. | ||||
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| Investigators should: | ||||
| - Summarize the data | ||||
| - Say what test was used | ||||
| - Report the p-value | ||||
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| Investigators should not: | ||||
| - Blindly compare P to 5% or 1%, there are real world factors that change how important this value is.  | ||||
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| ### Data Mining/Snooping | ||||
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| (Ch 28-29, stat 1040) | ||||
| ## Goodness of fit tests ($\chi ^2$)  | ||||
| This test is used when you have one qualitative variable with many categories, eg the (color, size, shape) of an (item). | ||||
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