Chi-Square Test Quiz

The chi-square test is primarily used for which of the following types of data?

• Continuous

• Categorical

• Ordinal

• Interval

Which assumption is crucial for the validity of the chi-square test?

• Normally distributed data

• Large sample size

• Homogeneity of variances

• Equal intervals

The chi-square distribution is:

• Symmetrical

• Positively skewed

• Negatively skewed

• Uniform

The degrees of freedom (df) for a chi-square test in a 2x3 contingency table is:

• 1

• 2

• 3

• 5

What is the main purpose of the chi-square goodness-of-fit test?

• To compare means of two groups

• To examine the independence of two variables

• To assess how well observed frequencies fit expected frequencies

• To measure the correlation between variables

In a chi-square test, the expected frequency in each cell should ideally be at least:

• 1

• 5

• 10

• 20

The chi-square test of independence is used to determine if:

• Two categorical variables are related

• Two groups have the same mean

• The variance of two groups is equal

• Two variables are normally distributed

Which statement is NOT true about the chi-square test?

• It is non-parametric

• It can handle categorical data

• It requires normally distributed data

• It compares observed and expected frequencies

If the chi-square test result is significant, it means:

• There is a significant association between the variables

• There is no association between the variables

• The observed and expected frequencies are the same

• The null hypothesis is accepted

As the sample size increases, the chi-square test becomes:

• Less reliable

• More powerful

• More conservative

• Less effective