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AP Stats Chapter 1:

•  Preface-What is Statistics?

•  Unit 1.1 Displaying Distributions with Graphs

•  Unit 1.2 Distributions with Numbers

•  Pre-Chapter 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 Z-scores

In this Unit, students will learn to:

• Compute the measures of relative standning of individuals in a normal distribution
• Standardizing z-scores and percentiles
• Understand the Empirical rule of 68-95-99.7
• 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 t-distribution 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 Two-Way Tables

•  Chapter 14 Review

Chi-Squares

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

 
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