1. When conducting a t test for differences between means, increasing sample size impacts the
a. standard deviation of the sampling distribution
b. degrees of freedom
c. t score
d. all of the above
2. In terms of finding importance vs. statistics
a. researchers can analyze importance as well as significance
b. there is no difference between importance and significance
c. the distinction is entirely dependent upon data
d. researchers cannot formally assess importance
3. When finding significance involving two sampled proportions, we find the value of the population proportion by estimating
a. the value of the sample means
b. the sample standard deviations
c. the value z obtained
d. the sample proportions
4. Population variance measures-
a. dispersion
b. location
c. central tendency
d. degrees of freedom
5. When the null hypothesis in the chi square test for independence is true, there should be
a. large difference between the observed frequencies and the expected frequencies
b. no difference between the row and the column marginals
c. little difference between the observed frequencies and the expected frequencies
d. no difference between the observed frequencies and the marginals
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