Introductory Statistics

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Thank you for your hard work this semester. I hope that you feel more confident with quantitative analysis now. I look forward to see you in Advanced Statistics!

A couple of people left flash drives in the lab after class. I've got them in my office. Stop by to retrieve yours if you left it.

Identify one numeric dependent variable and three or four numeric independent variables and generate a regression analysis. Interpret the results.

We're going to use an online data analysis tool (IPUMS) to look at some more examples of factorial ANOVA.

I'll do a demonstration, and then we'll do a group exercise. Select a numeric variable to explain. Identify two categorical variables as potential causal factors. Perform the factorial analysis of variance and interpret the results. Post your results as a comment to this page.

Each group will select a numeric dependent variable that you want to explain sociologically. Next, select two categorical independent variables. Perform a two-way ANOVA in SPSS. Interpret the results.

We'll do a ANOVA group exercise here.

Each group will select two categorical variables and produce a crosstabulation in SPSS. You'll calculate the odds for two groups comparing two values of the dependent variable and calculate an odds ratio.

In your comment, identify the variables and dataset you used. Interpret the odds ratio.

Note: This is an in-class exercise.

Each group will select one numeric dependent variable and perform an one sample t-test in SPSS.

In your comment, state the dataset and variables you used. State the null and research hypotheses. Explain your test value. Interpret the results. Remember to include all group members' names.

Note: This is an in-class exercise.

Each group will select one numeric dependent variable and perform a hypothesis test for gender differences in their dependent variable. Perform the t-test in SPSS.

In your comment, state the dataset and variables you used. State the null and research hypotheses. Interpret the results. Remember to include all group members' names.

Note: This is an in-class exercise.

Each group will select one numeric variable from one of our datasets and calculate the 95% confidence interval with SPSS. In your comment, indicate which dataset and variable you used, and interpret the results in a clear and concise manner. Remember to include all group members' names.

Note: This is an in-class exercise.