Question
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In a goodness of fit test using chi-square, how many categories or populations do you need to be able to do this analysis? (A) At least 3 (B) greater than 3 C) At least 2 (D) At least 4 Two samples are said to be paired or matched samples when for each data value collected from one sample there is a corresponding data value collected from the second sample and both these data values are collected from the same source. (A) True (B) In a chi-square goodness of fit, if there are 6 categories then the degree of freedom will be (A) 7 (B)4 (C) 3 (D) 6 In a chi-square goodness of fit test, the p-value of the test is 0.05 and the level significance of test alpha = 0.05. What statistical decision could you make from this information? (A) Reject the null hypothesis H_0 (B) Do not reject the null hypothesis H_0 (C) Inconclusive (D) This situation can never happen
Explanation / Answer
Q1 Answer: Atleast 2, because for comparision atleast 2 categories are necessary
Q2. Answer : True
Q3. Answer 5, we have n = 6, and df = n-1 = 5
Q4.Answer : Reject the null hypothesis H0
