(a) attempting to reduce variability (b) attempting to increase variability (c)
ID: 3335171 • Letter: #
Question
(a) attempting to reduce variability (b) attempting to increase variability (c) trying to simplify the problem (d) proving the two populations differ 6. When we are trying to test for differences in population proportion p, statistic is (a) z-distributed (b) t-distributed (c) F-distributed (d) -distributed 7. We are interested in testing the similarity in the variances (a2) between populations, the appropriate test statistic is (a) z-distributed (b) t-distributed (c) F-distributed (d) -distributed 8-The sum of squares for treatments (SST), measures the variation between (a) blocks (b) populations (c) measurements rions 9. In the one-way ANOVA table, the F-distributed test statistic is a ratio of (a) SSTISSE (b) SSEISST (c) SSTISSB (d) SSBISSE 10. The major reason we use ANOVA when comparing multiple populations in- stead of a set of t-tests is: (a) there's usually too many tests to perform (b) it's difficult to keep track of all the possible combinations (o) the probability of committing a Type I error grows too quickly (d) ANOVA tables look more sophisticated than a set of t-testsExplanation / Answer
6 a) z- distributed
7 c) F - distributed
8 a) blocks
9 a) SST/SSE
10 a) There's usually too many test to perform
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