Week 1
Lesson 1
One-Variable Data
a.	Categorical Variables
b.	Quantitative Variables and their Distributions
c.	Summary Statistics
d.	Comparing Quantitative Variable Distributions
e.	Normal Distributions
f.	Practice Problems
 Week 2
Lesson 2
Exploring Two-Variable Data
a.	Two Categorical Variables
b.	Two Quantitative Variables
c.	Correlation, Least Squares Regression, and Residuals
d.	Outliers, Influential Points, and Leverage
e.	Transformations to Achieve Linearity
f.	Practice Problems
 Week 3
Lesson 3
Collecting Data
a.	Retrospective and Prospective Observational Studies
b.	Bias
c.	Sampling Methods and Variability
d.	Experiments vs Observational Studies
e.	Replication, Inference, and Experiments
f.	Practice Problems
 Week 4
Lesson 4
Probability, Random Variables, and Probability Distributions
a.	The Law of Large Numbers
b.	Probability Rules and Calculations
c.	Random Variables, Means, and Standard Deviations
d.	Sums and Differences of Sets and Random Variables
e.	Transformations of Random Variables
f.	Binomial, Geometric, and Cumulative Probability Distributions
g.	Practice Problems
 Week 5
Lesson 5
Sampling Distributions
a.	Normal Distribution Calculations
b.	Central Limit Theorem
c.	Biased and Unbiased Estimators
d.	Sampling Distribution for Sample Proportions and Sample Means
e.	Simulations of Sampling Distributions
f.	Practice Problems
 Week 6
Lesson 6
Inference for Categorical Data: Proportions
a.	Confidence Intervals, Confidence Intervals for Proportions
b.	Conditions for Inference
c.	Significance Testing, Significance Testing for Proportions
d.	Confidence Intervals and Significance Testing for Differences of Two Proportions
e.	Practice Problems
 Week 7
Lesson 7
Inference for Quantitative Data: Means
a.	T-Distribution
b.	Confidence Interval and Significance Test for Means
c.	Confidence Interval and Significance Test for Differences of Two Means
d.	Paired Data
e.	Simulations and P-Values
f.	Hypothesis Tests, Power, and Type I and II Errors
g.	Practice Problems
 Week 8
Lesson 8
Inference for Categorical Data: Chi-Square
a.	Chi-Square Test for Goodness-of-Fit
b.	Chi-Square Test for Independence
c.	Chi-Square Test for Homogeneity
d.	Practice Problems
 Week 9
Lesson 9
Inference for Quantitative Data: Slopes
a.	Sampling Distribution for the Slope
b.	Confidence Interval for the Slope of a Least Squares Regression Line
c.	Hypothesis Test for the Slope of a Least Squares Regression Line
d.	Practice Problems
 Week 10
Lesson 10
Review
Students will develop a thorough grasp of AP Statistics through focused unit learning and extensive exam readiness.