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Course: AP??/College Statistics?>?Unit 12
Lesson 2: Chi square tests for relationships (homogeneity or independence)- Introduction to the chi-square test for homogeneity
- Chi-square test for association (independence)
- Expected counts in chi-squared tests with two-way tables
- Test statistic and P-value in chi-square tests with two-way tables
- Making conclusions in chi-square tests for two-way tables
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Making conclusions in chi-square tests for two-way tables
Problem
A market researcher was curious about the colors of different types of vehicles. They obtained a random sample of sedans and a separate random sample of trucks. Here is a summary of the colors in each sample and the results from a chi-squared test:
Trucks | Sedans | |
---|---|---|
Red | ||
Expected | ||
Blue | ||
Expected | ||
Black | ||
Expected | ||
Other | ||
Expected |
Assume that all conditions for inference were met.
At the significance level, what is the most appropriate conclusion to draw from this test?