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ST511

David Elsheimer Inglés 8 fichas

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1What is the test of homogeneity for multinomial populations? (e.g., df, exp. freq., test stat, etc.)
2What are the hypotheses of a chi-square goodness of fit test?H_0: Data is consistent w/ a specified dist.
H_A: Data is NOT consistent w/ a specified dist.
3How do you perform a chi-sq. goodness-of-fit test?
4What are the key differences between a homogeneity of multinomial multinomial prop problem vs a chi-square problem?Essentially look at the data. If it's simpler and we're only comparing the expected probabilities at each level (i.e. rows for a multinomial), we can use chi-square goodness-of-fit test.
5What are the hypotheses for a chi-square test of independence?Suppose that Variable A has r levels, and Variable B has c levels.
Ho: Variable A and Variable B are independent.
Ha: Variable A and Variable B are not independent.
6How do we perform a chi-square test of independence?
7What are the differences between a test for homogeneity and a test for independence?Test for homogeneity will deal w/ r populations and c different levels for each pop.
Test for independence will have rows represent one variable for the pop., and the columns represent another variable.
The statistic is similar, knowing what hyp. are being tested/ conc. to make is key.
8How does the goodness-of-fit test change based on your distribution?DF will change:
Binominal distribution 1 n-1
Poisson distribution 2 n-2
Normal distribution 3 n-3