Exam 15: Chi-Square Test

If a variable has been measured on a multi-valued quantitative scale,then creating categories and using a chi-square procedure will usually _____.

The test of the chi-square statistic applies to the sample as a whole and provides useful information as to which cells are responsible for rejecting the null hypothesis.

AS N increases results of the chi-square test become more similar to which of the following alternatives?

Yates' correction for continuity should not be used because it tends to reduce statistical power while adding little control over Type I errors.

Recent studies have shown that Yates' correction of continuity should not be used,as it tends to reduce _____ with little gain over _____ control.

The logic underlying the chi-square test focuses on the concept of expected frequencies and how they compare to observed frequencies.

One of the assumptions of the chi-square test is that the expected frequency for each cell is:

The most common index of the strength of the relationship between two variables in a contingency table is the:

Which of the following situations refers to a chi-square test of homogeneity?

When a sample is selected so that it consists of a specified number for one of the two variables,the marginal frequency for that variable is ____________________.

The interpretation of the obtained value for the fourfold point correlation coefficient/Cramer's statistic is similar to _____.

If the researcher in the study above (examining gender and car preference)specifically designed the study so that 50 men and 50 women would be selected for the study,then in the data table,the marginal means for the car choice variable would be _____,but the marginal means for gender would be _____.

If people in a study on gender and political party identification were selected for participation without regard to gender or political party identification,the marginal frequencies for both of these variables would be free to vary,or random.

What are the assumptions of the chi-square test?

The analytical procedures for the chi-square test of independence and the chi-square test of homogeneity are identical.

For the chi-square goodness-of-fit test,statisticians generally recommend that the lowest expected frequency of any category be somewhere between 5 and 10 if only two categories are involved and about 5 if more than two categories are involved.

When both of the variables under study have only two levels,the sampling distribution of the chi-square statistic corresponds more closely to a chi-square distribution than when one or both variables have more than two levels.

A researcher was interested in examining the relationship between gender (male and female)and car preference (SUV,sedan,or sports car).What type of table would be most appropriate for this data?

For the example in question 11,which is the more appropriate statistical test to analyze the data?

Although the issue is controversial,statisticians generally recommend the use of the correction for continuity.