Exam 11: CHI-Squared Tests of Fit

χ² tests are sensitive to small cell sizes. You should try to have a sufficient sample size to have at least ______ observed or expected cases in every cell.

When is a non-parametric test more appropriate than a parametric test?

With one degree of freedom, the χ² distribution looks similar to a normal distribution.

In a goodness of fit test, when  = .05 and k = 9, degrees of freedom are ______.

If ² = 20 and k = 12, the null should be retained.

Because χ² is sensitive to small cell counts, you should always collect a large enough sample so that observed and expected cell sizes are all above 5.

Which of these is a valid alternative hypothesis for a χ² test of independence?

When a χ² is statistically significant, for supplemental analyses, we ______.

In a χ² goodness of fit test, the expected values are always equal.

The shape of the χ² distribution is dependent on ______.

In a test of independence, when  = .01, k₁ = 7 and k₂ = 4, degrees of freedom are ______.

Counts occurring at all possible combinations of two variables can be expressed using a contingency table.

Degrees of freedom for a χ² test are dependent upon the number of ______.

Cramer's V is not easily interpretable on its own. But under what conditions is it more useful?

In a test of independence, if ² = 9.0, k₁ = 3 and k₂ = 3, you should ______.

In a goodness of fit test, when k = 5 and  = .05, the critical χ² is ______.

When conducting a goodness-of-fit test on data with 6 groups, there are 5 degrees of freedom.

In a test of independence, a unique effect created by a particular combination of levels in two variables is called a(n) ______.

If ² = 2, n = 10 and k = 4, what is the value of Cramer's V?

The following is a valid null hypothesis: There is a difference between observed and expected frequencies of gum preference.