1) Which of the following statements about P-value is not true? If the P-value >

Question

1)

Which of the following statements about P-value is not true?

If the P-value > 0.10, do not reject the null hypothesis. The difference is not significant.

In a chi-square goodness-of-fit test, when there is ______ between the observed frequency and the expected frequency, the chi-square test value will be small.

not enough information to say

Assumptions for the chi-square goodness-of-fit test are 1) the data are obtained from a random sample; and 2) the expected frequency for each category must be 5 or more.

Explanation / Answer

1)

The statements depend upon the significance level, the most common and lowest level of significance set is 0.01.

Note: it can be more than that as well, but generally it is 0.01

Now if P-value is less than the significance level than we reject the null hypothesis otherwise we fail to reject null hypothesis

Hence the correct option is 2nd one

If the P-value > 0.01 but 0.05, reject the null hypothesis. The difference is significant

2)

The correct option is 1st Close agreement

Since the value of test static is given by taking summation of the ratio of square if the difference between observed and expected by expected

3) True

The second condition if it's not 5 then we have to use pooling methods to make it 5

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