when the null hypothesis for a chi square test for independence is true. a. a large difference between the observed frequencies and the expected frequencies. b.little or no difference between the observed frequencies and the expected frequencies. c. no difference between the observed frequencies and the marginals d. no differences between the row and the column marginal 2. In the Chi Square test, degrees of freedom are calculated as : a. N-1 b. N1+N2-2 c. (r+1)(c+1) d. (r-1)(c-1)
when the null hypothesis for a chi square test for independence is true.
a. a large difference between the observed frequencies and the expected frequencies.
b.little or no difference between the observed frequencies and the expected frequencies.
c. no difference between the observed frequencies and the marginals
d. no differences between the row and the column marginal
2. In the Chi Square test, degrees of freedom are calculated as :
a. N-1
b. N1+N2-2
c. (r+1)(c+1)
d. (r-1)(c-1)
Note:
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Chi-square test for independence:
Chi-square test for independence is used to test whether two categories of interest are independent of each other or not.
The test hypotheses are given below:
Null hypothesis:
H0: The two categories of interest are independent.
Alternative hypothesis:
Ha: The two categories of interest are not independent.
Evidently, the test is to determine whether the values of one category can help to determine the values of another category.
Thus, the study seeks to find whether there is any association between the two categories.
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