Chi-Square Test: Goodness of Fit

Flashcards covering vocabulary and key concepts from the Chi-Square Test: Goodness of Fit chapter.

Chi-Square Test

A statistical test used to determine if observed frequencies differ from expected frequencies in categorical data.

Null Hypothesis (H0)

The hypothesis that there is no significant difference between the claimed distribution and the observed data.

Alternative Hypothesis (Ha)

The hypothesis that there is a significant difference between the claimed distribution and the observed data.

Degrees of Freedom

Calculated as the number of categories minus one in a Chi-Square test.

Expected Values

The expected frequencies in each category, calculated as n(Pi), where n is the total number of observations and Pi is the expected proportion for each category.

Test Statistic

A calculated value used to determine the likelihood of observing the collected data if the null hypothesis is true.

Context

The specific situation or environment in which a statistical test is applied.