1. The chi-square goodness-of-fit test has no minimum requirement for the number

Question

1. The chi-square goodness-of-fit test has no minimum requirement for the number of observed frequencies in each category. True or False

2. When performing a hypothesis test to compare two or more population proportions, the observed frequencies must always be integer values. true or false

3. The chi-square test of independence does not allow us to state that one variable causes a change in another variable when the null hypothesis is rejected. true or false

4. There is no statistical technique for directly testing a hypothesis about a population standard deviation. true or false

Explanation / Answer

1. The chi-square goodness-of-fit test has no minimum requirement for the number of observed frequencies in each category. -- false(number of observation each cell has to be greater than 5 for performing chi-sq test)

2. When performing a hypothesis test to compare two or more population proportions, the observed frequencies must always be integer values.true( frequency always in interger)

3. The chi-square test of independence does not allow us to state that one variable causes a change in another variable when the null hypothesis is rejected.true( if hypothesis is rejected then that implies populations are dependent)

4. There is no statistical technique for directly testing a hypothesis about a population standard deviation. false(we can perform that test by test statistic that havin chi-sq distribution)

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