Hw4 - 9.10(a The percent $ho have laslinr waking symptolns is the total of the lirst column divided bv the grand total fr 51.98c(b The percent rvho

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9.10. (a) The percent $ho have laslinr waking symptolns is the total of the lirst column divided bv the grand total: fr : 51 .98c/(. . (b) The per- cent rvho have both t'aking and bedtime symp- toms is the count in the upper left divided bv the .crrrnd lotrrl. ,,0 lo:S';. {c) fo le.l H, Therc is no relationship between naking and bcdtime svnptonls vs. 11,,: Thcre is a relationship. uc find .Yr - 2.275 (df : l) and P : 0.132. We do not havc enough evidence to conclude that thete is a relationship. 9.18. (a) The best numerical summary would note that we view target au- dience ("magazine readership") as explanatory, so we sbould com- pute the conditional distribution of model dress for each audience. This table and graph are shown below. (b) N{initab output is shown on the right: X2 : 80.9. df : 2. and P 's very small . We har e r er1 slrorrg evidence that target audience affects motlcl dres. . (c)
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This note was uploaded on 02/24/2011 for the course STAT 3022 taught by Professor Staff during the Spring '08 term at Minnesota.

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Hw4 - 9.10(a The percent $ho have laslinr waking symptolns is the total of the lirst column divided bv the grand total fr 51.98c(b The percent rvho

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