Use the 2004 General Social Survey data set for this project.

1. Two-Sample t Test (Chapter 8)

1. Choose two different dependent variables from the interval-ratio or ordinal variables that have three or more scores. Choose independent variables that might logically be a cause of your dependent variables. Remember that, for a \(t\) test, independent variables can have only two categories. Independent variables can be any level of measurement, and you may use the same independent variable for both tests.
2. Click Analyze, Compare Means, and then Independent Samples T Test. Name your dependent variable(s) in the Test Variable window and your independent variable in the Grouping Variable window. You will also need to specify the scores used to define the groups on the independent variable. Take notes of the test results (group means, obtained \(t\) score, significance, sample size) or keep a hard copy. Repeat the procedure for the second dependent variable.
3. Write up the results of the test. At a minimum, your report should clearly identify the independent and dependent variables, the sample statistics, the value of the test statistic (step 4), the results of the test (step 5), and the alpha level you used.

B. Analysis of Variance (Chapter 9)

1. Choose two different dependent variables from the interval-ratio or ordinal variables that have three or more scores. Choose independent variables that might logically be a cause of your dependent variables and that have between three and five categories. You may use the same independent variables for both tests.
2. Click Analyze, Compare Means, and then One-way ANOVA. The One-way ANOVA window will appear. Find your dependent variable in the variable list on the left, and click the arrow to move the variable name into the Dependent List box. Note that you can request more than one dependent variable at a time. Next, find the name of your independent variable and move it to the Factor box. Click Options and then click the box next to Descriptive in the Statistics box to request means and standard deviations. Click Continue and OK. Make a note of the test results or keep a hard copy. Repeat for your second dependent variable.
3. Write up the results of the test. At a minimum, your report should clearly identify the independent and dependent variables, the sample statistics (category means), the value of the test statistic (step 4), the results of the test (step 5), the degrees of freedom, and the alpha level you used.

C. Chi Square (Chapter 10)

1. Choose two different dependent variables of any level of measurement with five or fewer (preferably two or three) scores. For each dependent variable, choose an independent variable that might logically be a cause. Independent variables can be any level of measurement as long as they have two to five categories. Output will be easier to analyze if you use variables with few categories. You may use the same independent variable for both tests.
2. Click Analyze, Descriptive Statistics, and then Crosstabs. The Crosstabs dialog box will appear. Highlight your first dependent variable and move it into the Rows box. Next, highlight your independent variable and move it into the Columns box. Click the Statistics button at the bottom of the window and click the box next to chi square. Click Continue and OK. Record the results or get a hard copy. Repeat for your second dependent variable.
3. Write up the test results. At a minimum, your report should clearly identify the independent and dependent variables, the value of the test statistic (step 4), the results of the test (step 5 ), the degrees of freedom, and the alpha level you used. It is almost always desirable to also report the column percentages.

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