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Is there a difference in the AnxDep Index based upon the Attendance of the courses (New ATT)?

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The Anxiety/Depression Index measures a person's level of anxiety and depression, high scores are worse. Persons with anxiety and depression are advised to take classes to help them understand and effectively deal with their situations. Is there a difference in the AnxDep Index based upon the Attendance of the courses (New ATT)? Is age involved in the prediction of the Index results? You may consider an age*newatt interaction. Is there any additional information about the subjects that may help explain the variance in the index scores?

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The differences in the AnxDep index based upon the attendance is determined.

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Is there a difference in the AnxDep Index based upon the Attendance of the courses (New ATT)?
The Anxiety/Depression Index measures a person's level of anxiety and depression, high scores are worse. Persons with anxiety and depression are advised to take classes to help them understand and effectively deal with their situations. Is there a difference in the AnxDep Index based upon the Attendance of the courses (New ATT)? Is age involved in the prediction of the Index results? You may consider an age*newatt interaction. Is there any additional information about the subjects that may help explain the variance in the index scores?

This problem is an example of the Two Way ANOVA(Analysis of variance), which is also known as two factor Anova. The two factor Anova can help you determine if two factors have the same "mean", which form the basic for "hypothesis testing." (1)

In this problem, the null hypothesis is that the two means are equal: that is the mean for the AnxDep Index for the people attended the anxiety course (ATT) is the same as the mean for the AnxDep Index for the people who did not attended the course. (no ATT).

HO: Means of ATT = Means of no ATT

The alternative hypothesis is:

HA: the means of the ATT and the no ATT are different

The goals of this hypothesis testing is to accept or reject the null hypothesis at a ...

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