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 		 img   AP Stats Chapter 1:

•  Preface-What is Statistics?

•  Unit 1.1 Displaying Distributions with Graphs

•  Unit 1.2 Distributions with Numbers

•  Ch1 Practice Test


•  Pre-Chapter Review

•  Chapter 1 Review
PPT


• 1.1
• 1.2		 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
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AP Statistics Chapter 2:

•  Unit 2.1 Density Curves and Relative Standing
•  HW 2.1 and SOL
•  Unit 2.2 Understanding Normal Distributions
•  HW 2.2 and SOL
•  Chapter 2 Review


 PPT

• 2.1
• 2.2		 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
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img   AP Statistics Chapter 3:

•  Unit 3.1 Scatterplots and Correlations
• HW 3.1 and SOL

•  Unit 3.2 Least -Squares Regression
•  HW 3.2 and SOL
•  Unit 3.3 Correlation and Regression
•  HW 3.3 and SOL
•  Chapter 3 Review
 PPT

• 3.1
• 3.2
• 3.3
• C3R

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

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img   AP Statistics Chapter 4:

•Unit 4.1 Linearity
•  HW 4.1 and SOL
•  Unit 4.2 Relationships Between Categorical Variables
•  HW 4.2 and SOL
•  Unit 4.3 Caution with Causations
•  HW 4.3 and SOL
•  Chapter 4 Review
 PPT

• 4.1
• 4.2
• 4.3
• C4R 		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
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AP Statistics Chapter 5:

•  Unit 5.1 Designing Samples

•  Unit 5.2 Designing Experiments

•  Unit 5.3 Designing Simulations

•  Chapter 5 Review

 PPT

• 5.1
• 5.2
• 5.3
• C5R

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
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img   AP Statistics Chapter 6:

•  Unit 6.1 Sample Space and Probability

•  Unit 6.2 Probability Rules

•  Unit 6.3 General Probability Rules

•  Chapter 6 Condensed

•  Chapter 6 Review
 PPT


• 6.1
• 6.2
• 6.3
• C6R		 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
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img   AP Statistics Chapter 7:

•  Unit 7.1 Discrete and Continuous Random Variables

•  Unit 7.2 Means and Variance of Random Variables
• Ch 7 Condensed Lesson on Random Variables

•  Chapter 7 Review
 PPT


• 7.1
• 7.2
• C7R

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
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img   AP Statistics Chapter 8:

•  Unit 8.1 Binomial Distributions

•  Unit 8.2 Geometric Distributions

•  Chapter 8 Review
 PPT

• 8.1
• 8.2
• C8R


 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
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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 Condensed Lesson

•  Chapter 9 Review

 PPT

• 9.1
• 9.2
• 9.3

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
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AP Statistics Chapter 10:

•  Unit 10.1 Confidence Intervals

•  Unit 10.2 Estimating a Population Mean

•  Unit 10.3 Estimating a Population Proportion
• Review Set 1
• Review Set 2
•  Chapter 10 Review

 PPT


• 10.1
• 10.2
• 10.3		 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
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img   AP Statistics Chapter 11:

•  Unit 11.1 Significance Test

•  Unit 11.2 Carrying Out Significance Test

•  Unit 11.3 and 11.4 Use and Abuse of Tests

•  Chapter 11 Condensed Lesson

•  Chapter 11 Review

 PPT

• 11.1
• 11.2
• 11.3
• 11.4		 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
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AP Statistics Chapter 12:

•  Unit 12.1 Tests about a Population Mean

•  Unit 12.2 Tests about a Population Proportion
• T-test Applet from UBC

• Hypothesis Tests for Two Tail Scenarios
• How to Program InvT into your Ti83
•  Chapter 12 Review

 PPT

• 12.1
• 12.2

Significance Tests

In this chapter, students will learn:

• Conduct a signficance test by mean and proportion
• Determine when to use a One Tail vs Two Tail Hypotehsis test
• Learn to calculate a the Probability of a Type I and Type II eorro
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img   AP Statistics Chapter 13:

•  Unit 13.1 Comparing Two Means

•  Unit 13.2 Comparing Two Proportions

•  Chapter 13 Review		 PPT

• 13.1
• 13.2
• 13R		 Comparing Two Population Parameters

In this chapter, students will learn:

• Conduct a signficance test comparing two population means and two population proportions
• You will also learn to conduct these tests using a T-distribution, where the sample population is not given.
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img   AP Statistics Chapter 14:

•  Unit 14.1 Test Goodness of Fit

•  Unit 14.2 Inference for Two-Way Tables

•  Chapter 14 Review

 PPT

• 14.1
• 14.2
• 14R		 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
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img   AP Statistics Chapter 15:

•  Unit 15.1 Inference for Regression

•  Chapter 15 Review
 PPT

• 15.1
• 15R
 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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