Question

Why is it impossible to calculate a chi-square on two interval/ratio level variables?

Why is it impossible to calculate a chi-square on two interval/ratio level variables?

Homework Answers

Answer #1

It is impossible to calculate a Chi-Square on two interval/ratio level variables for the following reasons:

(a) The distribution of the data was seriously skewed or kurtotic (parametric tests assume approximately normal distribution of the dependent variable), and thus the researchers must use a distribution free statistic rather than a parametric statistic.

(b) The data violates the assumptions of equal variance or homoscedasticity.

(c) For any of a number of reasons, the continuous data are collapsed into a small number of categories, and thus the data are no longer interval or ratio.

For such reasons, it is impossible to conduct a Chi square test.

Hope this solution will help you to understand. If you are satisfied with the answer then please please give a like to this answer. Thank you.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
6.         Why is it impossible to calculate a t-test on two nominal level variables?
6.         Why is it impossible to calculate a t-test on two nominal level variables?
What is the null hypothesis for a chi-square test? Two variables are related in the sample...
What is the null hypothesis for a chi-square test? Two variables are related in the sample Two variables are related in the population Two variables are unrelated in the sample
The same formula is used to calculate the chi-square statistic in the chi-square test for goodness-of-fit...
The same formula is used to calculate the chi-square statistic in the chi-square test for goodness-of-fit and the chi-square test of independence. Which calculation differs along the way for these two tests?
1. When is the Chi-square test not ideal? A. To compare independent samples of ratio or...
1. When is the Chi-square test not ideal? A. To compare independent samples of ratio or interval level data B. To compare independent samples of ordinal or nominal level data C. When all cells within 2x2 tables have an observed value greater than or equal to 10. D. A & B
If a dependent variable is ordinal, interval, or ratio level but is NOT normally distributed, it...
If a dependent variable is ordinal, interval, or ratio level but is NOT normally distributed, it is better to use Select one: a. t-test b. Chi-square c. McNemar's test d. Median test
Why is it necessary to do a test of statistical significance, such as chi-square, before finalizing...
Why is it necessary to do a test of statistical significance, such as chi-square, before finalizing your decision about whether or not there appears to be a relationship between two variables?
A chi-square test for independence is being used to evaluate the relationship between two variables. If...
A chi-square test for independence is being used to evaluate the relationship between two variables. If the test has df = 3, what can you conclude about the two variables? One variable consists of 2 categories and the other consists of 3 categories One variable consists of 2 categories and the other consists of 4 categories Both variables consists of 2 categories Both variables consists of 3 categories
Classify the variable as nominal-level, ordinal-level, interval-level, or ratio-level measurement. Shapes of swimming pools (circle, square,...
Classify the variable as nominal-level, ordinal-level, interval-level, or ratio-level measurement. Shapes of swimming pools (circle, square, rectangle, kidney
If you are comparing counts of two unrelated nominal variables with a chi-square test, what remaining...
If you are comparing counts of two unrelated nominal variables with a chi-square test, what remaining assumption you need to check before continuing? What options do you have if your assumptions are not met?
create an example to which the chi-square test of independence could be applied. Address the following:...
create an example to which the chi-square test of independence could be applied. Address the following: Identify two categorical variables for which a chi-square test of independence could be conducted. Describe the categories of each. Explain why these would be appropriate for this test. Predict whether or not the chi-square test result would be significant, and what this would imply about the variables.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT