## Psych 610 Week 7 DQ 1

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This will be a challenging chapter, and I'd encourage you to consider these questions as we move forward here. Think about a data set such as the one we used in last week's discussion, or a new set of variables of interest to you such as the mean number of times students check email, number of text messages sent on a weekly basis, number of times you visit a particular website, etc. The purpose of inferential statistics is to determine if a difference in variables that we see in a sample is *reliable*, that is, reflecting a difference in the underlying population. If so, then we say that a difference is statistically significant. The t-test is used to determine if a difference between 2 sample means is statistically significant, and the F-test serves this same purpose if we are working with more than 2 sample means.

For this discussion, describe a hypothesis that you could use one of these statistical tests to address. Describe your variable of interest, and two sample means. For instance, you might say, the mean number of weekly texts sent by a sample of 8th grade female students is 596, and the mean number of weekly texts sent by 8th grade male students is 486. The statistical test to use here would be the t-test.

If you would like, include some example data, and we can actually solve some of these problems!

For this discussion, describe a hypothesis that you could use one of these statistical tests to address. Describe your variable of interest, and two sample means. For instance, you might say, the mean number of weekly texts sent by a sample of 8th grade female students is 596, and the mean number of weekly texts sent by 8th grade male students is 486. The statistical test to use here would be the t-test.

If you would like, include some example data, and we can actually solve some of these problems!