The Chi-Square Statistic Tests the Differences Between Observed and Expected

question 35

True/False

The chi-square statistic tests the differences between observed and expected
frequencies.

---

Definitions:

Test Statistic

A calculated value used in statistical hypothesis testing to determine whether to reject the null hypothesis.

Squares

In statistics, refers to the process of squaring each difference between individual data points and the mean, used in the calculation of variance and standard deviation.

One-Way ANOVA

A statistical test that compares the means of three or more independent groups to determine if there is a statistically significant difference between them, based on one independent variable.

Critical Value

A point on the scale of a test statistic beyond which we reject the null hypothesis; it marks the boundary for deciding whether an observed test statistic is extreme.