STAT 101 Nominal Variables in the Gender and Study Hours Questions

D07: Relationships – t-Tests

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Start this discussion as soon as you’ve read the text/module info on the topic. Three posts are the minimum – one in response to my prompt below and at least two responses to the posts of other students. Use the discussion like a study group: Use your knowledge, practice, ask questions… Wrap up your discussion after participating for a few days -while you’re working on the worksheet and homework related to the topic – don’t wait too long since the next discussion opens pretty soon…

I have completed a number of t-tests using the following variables from the STUDENT survey.

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Each of the discussions in this area has one main nominal (or ordinal) variable – and the output from a number of t-tests with different interval variables.

Choose ONE of these sets of t-tests to discuss – Your first post should be interpreting one of these t-tests and then discuss (with at least two other posts) those and other findings. PRACTICE INTERPRETATION – in you rown words, what do these findings mean?

The file has two sets of output. The first box of output has the general statistics – the mean, N, and standard deviation. The second box has the t-test results – start with the t…

  • Write out the research hypothesis (name the variables and say they are related) and the null hypothesis (name the variables and say that they are not related).
  • Figure the df (total N1+N2-2) and, using an alpha of 0.05, find the critical value of t (Table C in the book).
  • Make a decision about the null hypothesis – accept or reject.
  • Interpret your findings – is there a relationship between these two variables? If so, what is the nature of that relationship? (Refer to the means…) Speculate on why these findings might be as they are.

Nominal/Ordinal (Independent) variables: Sex/Gender or Pet

Interval (Dependent) variables: Classes, or The number of times one eats per day, or Entertainment $ per week, or Height, or Work hours, or Study hours

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