
AP Stats Chapter 1:
• PrefaceWhat is Statistics?
• Unit 1.1 Displaying Distributions with Graphs
• Unit 1.2 Distributions with Numbers
• PreChapter Review
• Chapter 1 Review

Collecting and Displaying Data
In this Unit, students will learn to:
• Understand the challenges of collecting good data
• Make inferences from analyzing data
• Understand which graphs are most suitable for certain data
• Find Measures of central tendencies



AP Statistics Chapter 2:
• Unit 2.1 Density Curves and Relative Standing
• Unit 2.2 Understanding Normal Distributions
• Chapter 2 Review

Normal Distributions and Zscores
In this Unit, students will learn to:
• Compute the measures of relative standning of individuals in a normal distribution
• Standardizing zscores and percentiles
• Understand the Empirical rule of 689599.7
• Use technology to find the proportion of a distribution that is between an interval of two values



AP Statistics Chapter 3:
• Unit 3.1 Scatterplots and Correlations
• Unit 3.2 Least Squares Regression
• Unit 3.3 Correlation and Regression
• Chapter 3 Review

Linear Relationships
In this chapter, students will learn to:
• Construct and interpret scatterplots for bivariate data
• Compute the correlation between two variables and describe the purpose of correlation
• Understand the purpose of a LSRL



AP Statistics Chapter 4:
•Unit 4.1 Linearity
• Unit 4.2 Relationships Between Categorical Variables
• Unit 4.3 Caution with Causations
• Chapter 4 Review

Relationships Between Two Variables
In this chapter, students will learn to:
• Identify the purpose of a logarithmic transformation and how to achieve linearity
• Use two way tables and marginalization
• Define Simpson's Paradox
• Identify the requirements to establish causation when experiments are not feasible



AP Statistics Chapter 5:
• Unit 5.1 Designing Samples
• Unit 5.2 Designing Experiments
• Unit 5.3 Designing Simulations
• Chapter 5 Review

Data Collection
In this chapter, students will learn to:
• Distinguish and identify the characteristics of observational studies vs experiments
• Identify different sampling methods and the advantages of each
• Identify bias
• Distinguish between the purposes of randomization and blocking in an experimental design



AP Statistics Chapter 6:
• Unit 6.1 Sample Space and Probability
• Unit 6.2 Probability Rules
• Unit 6.3 General Probability Rules
• Chapter 6 Review

Probability Rules
In this chapter, students will learn:
• Design and perform probability simulations
• Define probability concepts: Independent vs Dependent events, Joint events, union, complement events
• Solve probability problems with Bayes's rule 


AP Statistics Chapter 7:
• Unit 7.1 Discrete and Continuous Random Variables
• Unit 7.2 Means and Variance of Random Variables
• Chapter 7 Review

Random Variables
In this chapter, students will learn to:
• Distinguish between a discrete vs random variable
• Explain what a probability distribution for a random variable is
• Calculate the mean and variance of a discrete random variable
• Calculate the mean and variance of distributions formed by combining two random variables



AP Statistics Chapter 8:
• Unit 8.1 Binomial Distributions
• Unit 8.2 Geometric Distributions
• Chapter 8 Review

Binomial and Geometric Distributions
In this chapter, students will learn to:
• Explain what a Binomial Distribution is
• Calculate the mean and variance of a binomial random variable
• Solve problems involving geometric settings 


AP Statistics Chapter 9:
• Unit 9.1 Sampling Distributions
• Unit 9.2 Sampling Proportions
• Unit 9.3 Sample Means and Central Limit Thm.
• Chapter 9 Review

Sampling Distributions
In this chapter, students will learn to:
• Define Sampling Distribution, Contrast bias and variability
• Describe the sampling distribution of a sample proportion
• Describe the Sampling distribution of a sample mean
• State Central Limit Theorem 


AP Statistics Chapter 10:
• Unit 10.1 Confidence Intervals
• Unit 10.2 Estimating a Population Mean
• Unit 10.3 Estimating a Population Proportion
• Chapter 10 Review

Confidence Intervals
In this chapter, students will learn:
• Describe statistcal inference & margin of error
• Describe and construct a confidence interval for a population mean and for a population proportion
• Distinguish the difference between tdistribution and Normal distribution



AP Statistics Chapter 11:
• Unit 11.1 Significance Test
• Unit 11.2 Carrying Out Significance Test
• Unit 11.3 Use and Abuse of Tests
• Unit 11.4 Using Inference to Make Decisions
• Chapter 11 Review

Testing Claims
In this chapter, students will learn:
• to solve problems and justify the solution strategy using circle properties
• to explore certain circle properties involving angles, chords, and tangent lines



AP Statistics Chapter 12:
• Unit 12.1 Tests about a Population Mean
• Unit 12.2 Tests about a Population Proportion
• Chapter 12 Review

Significance Tests
In this chapter, students will learn:
• to solve problems and justify the solution strategy using circle properties
• to explore certain circle properties involving angles, chords, and tangent lines



AP Statistics Chapter 13:
• Unit 13.1 Comparing Two Means
• Unit 13.2 Comparing Two Proportions
• Chapter 13 Review 
Comparing Two Population Parameters
In this chapter, students will learn:
• to solve problems and justify the solution strategy using circle properties
• to explore certain circle properties involving angles, chords, and tangent lines



AP Statistics Chapter 14:
• Unit 14.1 Test Goodness of Fit
• Unit 14.2 Inference for TwoWay Tables
• Chapter 14 Review

ChiSquares
In this chapter, students will learn:
• to develop a project plan that involves collecting, displaying , and analysing data
• to select a sample from a population
• to understand the various aspects of collecting data 


AP Statistics Chapter 15:
• Unit 15.1 Inference for Regression
• Chapter 15 Review

Regressions
In this chapter, students will learn:
• to develop a project plan that involves collecting, displaying , and analysing data
• to select a sample from a population
• to understand the various aspects of collecting data 


