Please help, I will give you a shiny shiny medal :) :> It deals with statistics :> Thank you c: Explain the differences between the chi-square test for independence and the chi-square test for homogeneity. What are the similarities?
Im not sure why, dont they have the same procedure? I selected it but it came out as incorrect. Dont we find H0 and H1, use \[\frac{ row total \times row column }{ total of all values }\] then plug it into the same equation on the calculator?
@ganeshie8
@3mar
Could you give me just 2 min?
Of course :> c:
Thanks.
IAhh, I got the answer. But what do they mean by assumptions? Because I chose A and B. (procedure is the same and assumptions are the same- but I was guessing about what they meant by assumption- as in the calculations?) :0 ;o
assumption An assumption is something that you assume to be the case, even without proof. For example, people might make the assumption that you're a nerd if you wear glasses, even though that's not true. Or very nice.
but I was never taught about assumptions, Im not sure how we would assume things in Chi square tests. Would it be the assumptions after the results are found?
Hmm, would assumptions be before hand like how we would interpret the question? I'm not sure. I'm so confused q-q
assumptions also mean considerations to be accounted!
Like how we would accept or reject a null hypothesis from data given? for example, if P was less than alpha we would reject the null hypothesis?
It took me repeated reading of definitions and lots of practice to understand criteria for the rejection of null hypotheses. Does your textbook not have examples?
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