In many ways comparing multiple sample means is simply an ex

In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA

Solution

When a single sample mean is compared with population mean, we use t test for single sample with H0: x bar =mu.

t statistic is found out then p value.

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When 2 samples are there H0: mu1=mu2 is set

And t test for 2 samples is conducted. Example two groups of college students using smokes etc.

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When paired test is one hypothesis is

H0: Two pairs are equal

Ha: not equal

We can do chi square test for 2x2 and check with critical value.

Example: Same 10 persons tested before and after training.