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Hypothesis testing for means
Hypothesis testing for means

study guide for final exam
study guide for final exam

...  Comparative Boxplots – be able to read and draw conclusions from vertical dot plots with box plots added as we have looked at in JMP. In particular be able to comment on typical value, spread/variation, distributional shape, and within group outliers. Also if given histograms that were plotted in ...
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... We sample to learn something about the specified population. We can use sample results (mean, variance,…) as estimates of the random variable in question. Large sample sizes (say 30 or more) yield more precision in an estimate as opposed to small samples (under 30). ...
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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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