A. Create an example of a research outcome that is suitable for analysis using a Factorial Analysis of Variance (ANOVA) with NO repeated measures. (You may use some of your own research data, or make up some data for this problem.) Show me the raw data that will be analyzed using a Factorial ANOVA without repeated measures.

1. Briefly describe the experiment in writing. Be sure to identify the Dependent Variable and the Factors for the Independent Variables and the levels for each factor (1 pt)

2. Identification of the Dependent Variable (1 pt).

3. Identification of the Independent Variables (Factors) and Levels (1pt).

B. Allocate the Degrees of Freedom for the Experiment; include all of the following (0.4 pt each):
Total, df =
Rows (Factor 1) df =
Columns (Factor 2), df =
Rows x Columns Interaction, df =
Error, df =

C. Analyze the data (use whatever software with which you are comfortable) and provide the F-ratios, and post-hoc test results (if necessary) (2 pts).

D. Provide a brief written description of your results including all of the necessary statistical support statements, i.e., like in the ‘Results’ section of a manuscript (3 pts).

Extra Credit (1 pt): Explain the importance of the value 1.96 when dealing with the large samples of normally-distributed data.