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IMG_0003_NEW_0018

# IMG_0003_NEW_0018 - voted NDP and the rest that they did...

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Example: Reasoning to the conclusion thal =kit correlated with having voted NDP f' the last BC _i.aii, ,"ln t*td nn aa 0{ecewt These two simple statistical statements make up our "results obtained" Geta Wrt< ^ ', vrr,{fu of Fen{b v"4e vdul '1" 4ot dfu'm What are the two sub-grouPs? Vdt- t.ha "r<- ywwt rn7/',brns ,^l 4e ML fl.re. Everybody in the group falls into What results would support the correlation claim? / qv"rtivt rynl4 vr[- dti^ 1," [\e^L ,"wA H pep ,e W #h W fry 1 yy^ na,abt{ ul* cb,'h4 t, /e"z ure6y ^ao r2e+ry Let's say that our samfb is 700 people. 200 of them are union members, the rest are not' 100 of the union members said they
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Unformatted text preview: voted NDP, and the rest that they did not. 1S0 of the non-union members said they voted NDP, and the rest that they did not. percentages? le iF : W/ of union members had the measured property' tf to a conclusion Jg-S, - 3r/, of non-union members had the measured property. to accept, we can move co-Ation holding in the Does this data give us information about a l\elfAVO correlation as well? U conelated,with B (in PFifthe percentage of A that are B is rr no,,tor*e t -*' -a \$AAt aL.8 c ln V2 lf A=-%"d -A= k'tdt a- u*,rrr nm/ are then, given ou +d/ of non-union members had the measured property'...
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