Essential statistical tools to help you master AP Statistics concepts and excel in your exam
Tools for analyzing distributions of quantitative and categorical variables.
Calculate measures of center for data analysis and comparison.
Calculate measures of spread to understand data variability.
Generate key summary statistics including quartiles.
Identify potential outliers and analyze distribution spread.
Standardize data for comparison and identify unusual values.
Visualize frequency distributions to analyze shape and spread.
Create box-and-whisker plots to identify outliers and compare distributions.
Create visualizations that preserve actual data values.
Visualize individual data points for small datasets.
Tools for exploring relationships between paired variables.
Visualize relationships between two variables and explore patterns.
Measure the strength and direction of linear relationships.
Create linear models to predict relationships between variables.
Analyze the fit of linear models by examining residuals.
Analyze how two variables change together and their relationship.
Tools for planning and conducting studies, sampling, and experimental design.
Understand sampling variability and estimate confidence bounds.
Determine needed sample size for desired precision or power.
Generate random samples for simulations and sampling exercises.
Organize and summarize categorical data from surveys and studies.
Analyze relationships between categorical variables in surveys.
Tools for calculating probabilities and working with probability distributions.
Calculate simple, joint, and conditional probabilities.
Calculate probabilities for fixed-trial binary outcome experiments.
Work with the bell curve distribution's probabilities and critical values.
Calculate probabilities for trials until first success.
Calculate the long-run average value of random variables.
Analyze the spread of probability distributions.
Work with equally likely outcomes across an interval.
Tools for understanding and working with sampling distributions.
Tools for statistical inference about population proportions.
Calculate confidence intervals for population proportions.
Test hypotheses about a single population proportion.
Compare proportions from two different populations.
Calculate confidence intervals for the difference in proportions.
Tools for statistical inference about population means.
Test hypotheses about a population mean (known σ).
Test hypotheses about a population mean (unknown σ).
Calculate confidence intervals for population means.
Compare means of two independent groups.
Compare means of paired or matched observations.
Calculate confidence intervals for difference between means.
Tools for using chi-square tests for categorical data.
Tools for inference about linear regression models.
Essential statistical tools to help you master AP Statistics concepts and excel in your exam
Tools for analyzing distributions of quantitative and categorical variables.
Calculate measures of center for data analysis and comparison.
Calculate measures of spread to understand data variability.
Generate key summary statistics including quartiles.
Identify potential outliers and analyze distribution spread.
Standardize data for comparison and identify unusual values.
Visualize frequency distributions to analyze shape and spread.
Create box-and-whisker plots to identify outliers and compare distributions.
Create visualizations that preserve actual data values.
Visualize individual data points for small datasets.
Tools for exploring relationships between paired variables.
Visualize relationships between two variables and explore patterns.
Measure the strength and direction of linear relationships.
Create linear models to predict relationships between variables.
Analyze the fit of linear models by examining residuals.
Analyze how two variables change together and their relationship.
Tools for planning and conducting studies, sampling, and experimental design.
Understand sampling variability and estimate confidence bounds.
Determine needed sample size for desired precision or power.
Generate random samples for simulations and sampling exercises.
Organize and summarize categorical data from surveys and studies.
Analyze relationships between categorical variables in surveys.
Tools for calculating probabilities and working with probability distributions.
Calculate simple, joint, and conditional probabilities.
Calculate probabilities for fixed-trial binary outcome experiments.
Work with the bell curve distribution's probabilities and critical values.
Calculate probabilities for trials until first success.
Calculate the long-run average value of random variables.
Analyze the spread of probability distributions.
Work with equally likely outcomes across an interval.
Tools for understanding and working with sampling distributions.
Tools for statistical inference about population proportions.
Calculate confidence intervals for population proportions.
Test hypotheses about a single population proportion.
Compare proportions from two different populations.
Calculate confidence intervals for the difference in proportions.
Tools for statistical inference about population means.
Test hypotheses about a population mean (known σ).
Test hypotheses about a population mean (unknown σ).
Calculate confidence intervals for population means.
Compare means of two independent groups.
Compare means of paired or matched observations.
Calculate confidence intervals for difference between means.
Tools for using chi-square tests for categorical data.
Tools for inference about linear regression models.
