In class, we only discussed computational specifics of one of three types of t-tests. However, we had an overview of the different types and when they might be used. Which of the following is not a situation in which some "flavor" of t-test could be an appropriate statistical choice? Comparing a sample mean to a population mean when you don't know the population standard deviation O Comparing means between exactly two independent groups Comparing two related groups of means (e.g., pre/post scores from the same individual) O Comparing means across three or more groups.

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In class, we only discussed computational specifics of one of three types of t-tests.
However, we had an overview of the different types and when they might be used.
Which of the following is not a situation in which some "flavor" of t-test could be an
appropriate statistical choice?
O Comparing a sample mean to a population mean when you don't know the
population standard deviation
O Comparing means between exactly two independent groups
Comparing two related groups of means (e.g., pre/post scores from the same
individual)
Comparing means across three or more groups.
Transcribed Image Text:In class, we only discussed computational specifics of one of three types of t-tests. However, we had an overview of the different types and when they might be used. Which of the following is not a situation in which some "flavor" of t-test could be an appropriate statistical choice? O Comparing a sample mean to a population mean when you don't know the population standard deviation O Comparing means between exactly two independent groups Comparing two related groups of means (e.g., pre/post scores from the same individual) Comparing means across three or more groups.
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