Inference for Categorical Data - Population Proportions

Definition

Inference for categorical data refers to making conclusions about population proportions based on sample data. It involves using statistical methods to estimate and test hypotheses about proportions in order to draw meaningful conclusions about populations.

Related terms

Margin of Error: The margin of error is an amount added/subtracted to/from an estimated proportion in order to create an interval estimate that includes most likely values for the true proportion.

Hypothesis Testing: Hypothesis testing is a statistical method used to make decisions about population parameters based on sample data. It involves formulating null and alternative hypotheses, collecting data, and using statistical tests to determine if there is enough evidence to reject the null hypothesis.

Chi-Square Test: The chi-square test is a statistical test used to determine if there is a significant association between two categorical variables. It compares observed frequencies with expected frequencies under the assumption of independence.