Transcription of The normal distribution assumption and other assumptions.
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The normal distribution assumption and other assumptions.
The normal distribution assumption and other t- tests assume that the data from the population are distributed how do we know if a population has a normal distribution ?As usual, we use the sample and use this as and estimate (sort of).If you take a sample from a normally distributed population, it makes sense that your sample will also be normally re more likely to pick items near the average, because more items will be NEAR the average!As your sample size goes up, you start picking up more extreme values (just as in a normal distribution )So how do you figure out if a population is actually normally distributed?
A lot of people don’t like “tests” of normality. In all cases you're trying to prove the H0, which is impossible! We won’t be covering them in this class, but if you ever do need to use ... QQ plots (sometimes called normal probability plots) - probably the best method for figuring out if something's normal. II. Making Q-Q plots ...
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