please help c: A multi nominal experiment with k = 4 cells and n = 300 produced the data shown in the following table. Do these data provide sufficient evidence to contradict the null hypothesis that P1= 0.20, 02 = 0.20, p3=0.30, and p4 = 0.30, test using Alpha = 0.05
@jim_thompson5910
|dw:1479680925006:dw|
I was wondering if this was asking me to do ANOVA, to see if at least one of the means was different. But is it the same as the other question I asked? Where the expected is 300/ (the p values) = expected value?
this is another `chi-square goodness of fit` type of problem
the claim here is... P1 = 0.2 P2 = 0.2 P3 = 0.3 P4 = 0.3 ie the first probability is 0.2, the second is 0.2, the third is 0.3 and the fourth is 0.3
Translation: the claim is that if you randomly pick out a ball from any one cell, then the chances of picking a ball from cell1 is 20% since 0.2 = 20% Picking a ball from cell 2 is also a 20% chance cell 3 has a chance of 30% cell 4 has a chance of 30% this is assuming the claim is true
if we have 300 balls total and 20% of them should be in cell1, then how many should be in cell1?
ahh, I seem to have a hard time trying to chi square goodness fit problems.. so it would be:|dw:1479681201570:dw|
how are you getting that?
|dw:1479681367112:dw|
you would do n*p n = number of items p = probability of landing in certain cell so for the first cell, you would expect 60 since n*p = 300*0.2 = 60 |dw:1479681693924:dw|
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