t-Test For Dependent Means

What is an example of a situation in which you would use a t Test for dependent means?

You would use this type of t-Test when using two scores from the same population. For instance, if you were to want to score a person before and after a certain type of counseling, you would use a t Test for dependent means to determine the difference. “Dependent means” is referring to the fact that the means of the two samples are dependent on each other. This type of t-Test works exactly the same as the t-Test for a single sample, except you have to use difference scores and you have to assume that the population mean is 0. After reading a little bit about t-Tests I am starting to wonder why we were even studying significance tests for known populations. It seems like those circumstances do not exist often. Maybe that is out “best-case scenario”. The section on t-Tests seems much more practical and usable on a daily basis. Also, is anyone else getting way overburdened by the workload? I mean, I can barely keep up. This stuff is really hard. Sometimes I don’t get some of the ideas until days later. It helps me to sleep on it. If I am really not getting something, I will sleep on it. And in the morning I just get it when I read over the confusing section. Good luck. 

References

Aron, A., Aron, E., & Coups, E. (2006). Statistics for psychology (4th ed.). Upper Saddle River, NJ: Pearson/Allyn Bacon.

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