Safaa Dabagh

Module 12 Quiz: Chi-Square Tests

15 Questions | 70% to Pass

Quiz Instructions

1

What type of data is required for chi-square tests?

2

For a goodness of fit test with 5 categories, what are the degrees of freedom?

3

In a goodness of fit test, if the null hypothesis states that all outcomes are equally likely and you have 240 observations across 4 categories, what is the expected frequency for each category?

4

Which statement about the chi-square distribution is TRUE?

5

For a contingency table with 3 rows and 4 columns, what are the degrees of freedom?

6

In a test of independence, the expected frequency for a cell is calculated as:

7

A researcher surveys 400 people (one sample) and records both their age group and political party preference. Which test should be used?

8

What is the most critical condition that must be met for all chi-square tests?

9

A company samples 100 employees from Office A, 100 from Office B, and 100 from Office C. Each employee rates job satisfaction (High, Medium, Low). Which test should be used?

10

What is the key difference between a test of independence and a test of homogeneity?

11

A chi-square test of independence yields χ² = 12.5 with df = 4. Using α = 0.05 (critical value = 9.488), what should you conclude?

12

In a 2×2 contingency table, you have observed frequency O = 30 and expected frequency E = 25 for one cell. What is the contribution of this cell to the chi-square statistic?

13

Chi-square tests are ALWAYS:

14

A researcher tests if a die is fair by rolling it 600 times. What are the null and alternative hypotheses?

15

If a chi-square test shows that two variables are associated, what can you conclude?

Quiz Results

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