Probability & Statistics
Data analysis, probability, distributions, hypothesis testing, confidence intervals, and more.
Data Display & Visualization14
Histograms, box plots, scatter plots, and data visualization methods
Descriptive Statistics14
Mean, median, mode, standard deviation, variance, and measures of spread
Probability Fundamentals18
Probability rules, conditional probability, Bayes theorem, and probability calculations
Regression & Correlation9
Linear regression, correlation, least squares, and data relationships
Probability & Counting1
Combinations, permutations, probability rules, and counting principles
Statistical Distributions1
Probability Distributions1
All Probability & Statistics Terms A–Z (44)
- Addition Rule
- Bayes' Theorem
- Bernoulli Trials
- Binomial
- Binomial Probability Formula
- Box-and-Whisker Plot
- Boxplot
- Complement of an Event
- Conditional Probability
- Correlation
- Correlation Coefficient
- Deciles
- Disjoint Sets
- Event
- Experiment
- First Quartile
- Five Number Summary
- Impossible Event
- Independent Events
- Interquartile Range
- Least-Squares Regression Equation
- Least-Squares Regression Line
- Multiplication Rule
- Mutually Exclusive
- Negative Direction
- Negatively Associated Data
- Odds
- Odds Against
- Odds in Favor
- Outcome
- Outlier
- Parameter (Statistics)
- Percentile
- Population
- Positive Direction
- Positively Associated Data
- Probability
- Quartiles
- Quintiles
- Residual
- Sample Space
- Stemplot
- Sure Event
- Third Quartile
Frequently Asked Questions
What is the difference between probability and statistics?
Probability predicts the likelihood of future events based on a known model. Statistics uses observed data to draw conclusions, make predictions, or infer properties of a population. Probability reasons from a model to data; statistics reasons from data to a model.
What is AP Statistics about?
AP Statistics covers four major themes: exploring data (graphs, distributions, summary statistics), sampling and experimentation (study design, bias, randomization), probability (random variables, distributions, simulation), and statistical inference (confidence intervals, hypothesis tests).
What are the most important statistics formulas?
Key formulas include: mean (sum of values ÷ count), standard deviation (measuring spread), z-score ((x − μ)/σ), combinations (n! / (r!(n−r)!)), and the normal distribution probability density function.