Math

AP Statistics

Learn to collect, analyze, and draw conclusions from data. Master the concepts tested on the AP Statistics exam through hands-on exploration.

1

Exploring Data

Types of data and basic summaries

Lesson 1: Categorical vs Quantitative Data Coming Soon
Lesson 2: Frequency Tables Coming Soon
Lesson 3: Measures of Center Coming Soon
2

Describing Distributions

Shape, center, spread, outliers

Lesson 4: Histograms & Stemplots Coming Soon
Lesson 5: Mean, Median, Mode Coming Soon
Lesson 6: Standard Deviation & IQR Coming Soon
3

Normal Distributions

The bell curve and z-scores

Lesson 7: The Normal Curve Coming Soon
Lesson 8: Z-Scores Coming Soon
Lesson 9: The Empirical Rule Coming Soon
4

Designing Studies

Sampling, experiments, observational studies

Lesson 10: Sampling Methods Coming Soon
Lesson 11: Observational Studies vs Experiments Coming Soon
Lesson 12: Bias & Confounding Coming Soon
5

Probability

Rules of probability and counting

Lesson 13: Basic Probability Rules Coming Soon
Lesson 14: Conditional Probability Coming Soon
Lesson 15: Independence Coming Soon
6

Random Variables

Discrete and continuous distributions

Lesson 16: Discrete Random Variables Coming Soon
Lesson 17: Continuous Random Variables Coming Soon
Lesson 18: The Binomial Distribution Coming Soon
7

Sampling Distributions

Distribution of sample statistics

Lesson 19: Sampling Variability Coming Soon
Lesson 20: Central Limit Theorem Coming Soon
Lesson 21: Sampling Distribution of a Proportion Coming Soon
8

Confidence Intervals

Estimating population parameters

Lesson 22: Confidence Interval for a Mean Coming Soon
Lesson 23: Confidence Interval for a Proportion Coming Soon
Lesson 24: Margin of Error Coming Soon
9

Hypothesis Testing

Testing claims about populations

Lesson 25: Null & Alternative Hypotheses Coming Soon
Lesson 26: P-Values & Significance Coming Soon
Lesson 27: Type I & Type II Errors Coming Soon