# T-test Computation Using Appropriate Statistical Software

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Problem #1

T-tests compare two groups. For each question, please divide your independent variable into two groups. I expect a statement regarding which variables you used to as the dependent and independent variables to answer the question, a description of how you divided your groups, the means of the groups, the t-value, and the significance. You also need to interpret these results.

Remember: Use the correct values (can equal variances be assumed?)

The significance is given as a two-tailed result. Is this the result you should report?

1. Do people who read ingredients on food labels choose healthier items when eating at home?

HC3- I usually read ingredients on food labels (Independent variable)

HOH- When I eat at home, I eat healthy (Dependent variable)

Steps:

1. Write the null (Ho) and alternative H1) hypotheses:

H0: HC3 = HOH

There is no significant difference in the responses between people who read ingredients on food labels and their choice of healthier items when eating at home.

H1: HC3 ? HOH

There is a significant difference in the responses between people who read ingredients on food labels and their choice of healthier items when eating at home.

2. Determine if this is a one-tailed or a two-tailed test. Because the hypothesis involves the phrase "different" and no ordering of the means is specified, this must be a two tailed test. (For more information, access this link at the University of Dayton, http://academic.udayton.edu/gregelvers/psy216/spss/ttests.htm).

3. Since the study is based on perception of the respondents, you can use ? = .05. This means that you are 95% accurate in your analysis.

4. The paired samples t-test can be used to determine if two means are different from each ...

#### Solution Summary

The solution shows the step-by-step computation of the T-test. The 12-problem solution utilizes appropriate statistical software and is contained in a document file and statistical file.