Chi Square

The video tutorial explains the Chi Square test, a non-parametric test used for analyzing differences and correlations in nominal data. It uses Piaget's conservation experiment as an example, formulating a hypothesis that seven-year-olds are more likely to conserve than five-year-olds. The tutorial covers the calculation of degrees of freedom, expected values, and the Chi Square statistic. It concludes by determining the statistical significance of the results, allowing the rejection of the null hypothesis.

What is the purpose of the Chi Square test?

Explain the significance of the degrees of freedom in the Chi Square test.

Describe the process of calculating expected values from a contingency table.

How do you determine if the results of a Chi Square test are statistically significant?

What conclusion can be drawn if the calculated Chi Square value is greater than the critical value?