Descriptive Statistics for Bivariate Analysis

A set of flashcards covering key vocabulary terms and definitions related to Descriptive Statistics for Bivariate Analysis.

Scatter Plot

A graph used when both variables are interval quantitative, showing the relationship between two numeric variables.

Cross-Tabulation

A table that displays how categories of one variable relate to another variable, used for categorical data.

Mosaic Plot

A visual representation of a cross-tabulation, where larger blocks indicate more individuals in a combination of categories.

Box Plot

A graph that visualizes the distribution of a dataset based on a five-number summary: minimum, first quartile, median, third quartile, and maximum.

Line Chart

A type of chart that shows the conditional means of a variable, useful for displaying trends over different levels of another variable.

Linear Regression

A statistical method used to model the average relationship between two numeric variables and predict outcomes.

Residuals

The differences between observed values and the values predicted by a model, used to assess the accuracy of a regression model.

Linear Probability Model (LPM)

A type of regression used when the dependent variable is binary, estimating the probability of a particular outcome.

Central Limit Theorem (CLT)

A statistical theory that states that the distribution of sample means will approach a normal distribution as the sample size becomes larger.

Standard Error (SE)

A measure of the variability of a sample mean, calculated as the standard deviation divided by the square root of the sample size.

Confidence Interval (CI)

A range of values that estimate a population parameter, providing a margin of error around a point estimate.

Coefficient of Determination (R²)

A statistic that indicates how well data fit a regression model, ranging from 0 to 1, with 1 indicating a perfect fit.