The Chi-square Tests Assessment Test
Take our assessment test to assess your knowledge of the chi-square tests. The chi-square goodness of fit test that determines if a sample data matches a population and the chi-square test for independence that compares two variables in a contingency table to see if they are related.
- 1.
What is the null hypothesis in chi-square test?- A.
The rows and columns are the same
- B.
The rows and columns in the table are associated
- C.
The rows and columns in the table are not associated
- D.
The rows and column are not the same
- 2.
The least expected value in each contingency table cell in order for a chi-square test to be effective is...
- A.
5
- B.
4
- C.
3
- D.
2
- 3.
Contingency tables and degrees of freedom are key elements in chi-square test?
- A.
False
- B.
Maybe
- C.
True
- D.
None
- 4.
What is another name for the chi-square goodness fit test?
- A.
Directional chi-square
- B.
One sample chi-square
- C.
Chi-square Anova
- D.
Two sample chi-square
- 5.
What type of data do you use for a chi-square table?
- A.
Ratios
- B.
Scales
- C.
Ordinal
- D.
Categorical
- 6.
How many cases must appear in one category of a chi-square test?
- A.
4
- B.
6
- C.
5
- D.
7
- 7.
What is an effective size?
- A.
The magnitude of the relationship between variables
- B.
The likelihood of type 1 and type 2 errors
- C.
The number of expected cases
- D.
The variance explained by the measures
- 8.
How can low expected values be dealt with?
- A.
Add more of the same number
- B.
Increase the sample size or combine categories
- C.
Exclude outliers
- D.
None of these
- 9.
By which other name is a chi-square contingency table analysis known?
- A.
Chi-square test for independence
- B.
Chi-square test for dependence
- C.
Chi-square variable test
- D.
None of the above
- 10.
Which of these symbols is used to represent a chi-square test?
- A.
C
- B.
Q
- C.
T
- D.
X2
