Exam 13: Nominal Categorical Data and the Chi Square

A researcher obtains a 2 by 2 chi square value of 3.83. The appropriate degrees of freedom indicate required table values of 3.84 at .05, and 6.64 at .01. The researcher should

The dependent variable in the study was

This is an example of

If a certain nominal scale, applied to a single group of subjects, showed observed frequencies of 30, 25 and 20, the frequencies expected on the basis of chance would be

The chi square test demands that cell entries be independent of each other.

Unlike t of F, as the degrees of freedom increase for chi square, the critical, table values also increase.

When measuring individuals with the nominal scale, the key question is,

When comparing two or more groups with regard to some observed frequencies, the independent variable should be set in the

Chi square is a non-parametric statistical test.

When several groups of subjects are being compared with regard to some observed frequencies, the appropriate chi square analysis would be

The independent variable in this study was

In analyzing the data from this research, the Yates correction should only be applied if

Use the following: Hypothesis: Police citations for traffic violations are a function of the age of the driver. A random sample of 50 drivers was selected from the population of cited traffic violators during a one-month period. The drivers were categorized according to age, and the frequencies for each category were established. AGE OF DRIVER 18-27 28-37 38-47 48-57 58 and over fo 35 25 15 13 12 -Should Ho be rejected?

When Yates is applied, the likelihood of obtaining a significant chi square is

Chi square may not be used when comparing two or more samples.

The degrees of freedom on a 3 by 3 chi square are equal to

Other things being equal, the larger the chi square value, the greater the likelihood of rejecting Ho.

As long as the data are in nominal form, the McNemar test may be applied to results from matched-subjects' designs.

The Yates correction is designed to reduce the value of chi square.

When chi square equals zero, there is a failure to reject Ho