Gender ADDSC IQ GPA 1.00 49.67 100.00 2.50 1.00 49.67 105.00 1.33 1.00 63.33 92.00 3.50 1.00 58.00 84.00 3.00 1.00 37.67 131.00 3.75 2.00 56.00 104.00 2.67 2.00 39.33 121.00 3.55 2.00 55.67 120.00 2.75 2.00 46.00 100.00 3.50 2.00 35.00 103.00 3.75 1 =female 2 = male RUN A ONE WAY ANOVA from independent and dependent variable above TO DETERMINE THE FOLLOWING Using the table of variables above answer the following showing your work. Answer Research question- Find the independent and dependent variable in Do ADD scores effect GPA and IQ scores? Null and alternative hypotheses Specify the alpha level Locate the critical region Perform the analysis using 10 scores and indicate what 10 scores you used (Perform the analysis of SS, Perform the analysis of df, calculate mean squares, and Calculate the F-ratio). Make a decision about the null. Summarize the above information in a table (one or two tables based on how you choose to forma

The independent variable is the ADD score and dependent variables are the GPA and IQ scores. We established null and alternative hypotheses and determined an alpha level (often 0.05). We then perform an analysis using ten selected scores, calculating SS, df, mean squares, and the F-ratio.

Explanation:

In the case of this research question, the independent variable would be the ADD scores, and the dependent variables would be both the GPA and IQ scores - as both are potentially influenced by the ADD scores. Null hypothesis (H0) could be stated as 'ADD scores have no effect on neither GPA nor IQ scores.' The alternative hypothesis (Ha) would then state 'ADD scores have a significant impact on either GPA, IQ scores or both.'

The alpha level, often 0.05, is the probability of rejecting the null hypothesis if it were true - it is basically the margin of error you are willing to accept. The critical region here would be any result that would lead us to reject the null hypothesis.

For analysis, we use ten scores, for example, five from each gender group. Calculations for SS (Sum of Squares), df (degree of freedom), mean squares, and F-ratio are then based on these scores. The F-ratio would allow us to decide whether to accept or reject the null hypothesis. Finally, all these values could be summarized in a table, which visually simplifies the understanding of your analysis.

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