1.0 Credit

The purpose of the AP course in statistics is to introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data. Students are exposed to four broad conceptual themes:

• Exploring Data: Describing patterns and departures from patterns.
• Sampling and Experimentation: Planning and conducting a study.
• Anticipating Patterns: Exploring random phenomena using probability and simulation.
• Statistical Inference: Estimating population parameters and testing hypotheses.

1- Introduction
1- Introduction
2- Course Description
3- Calculator Resources
4- MLA Formatting Word 2007
5- MLA Documentation updates
6- MLA Citation
7- MLA Incorporating Sources

2- Unit 1: Introduction to Statistics
1- What are Statistics?
2- Importance of Statistics
3- Descriptive Statistics
4- Inferential Statistics
5- Variables
6- Percentiles
7- Levels of Measurement
Assignment: What’s My Data Type?
8- Basics of Data Collection
9- Distributions
10- Summation Notation
11- Linear Transformations
12- Additional Readings
Handout: Unit 1 Exercises
Assignment: Sampling Methods and Bias
Assignment: Unit 1 Exercises

3- Unit 2: Graphing Distributions
1- Introduction to Graphing Distributions
2- Qualitative Variables
3- Quantitative Variables
4- Stem & Leaf Displays
5- Histograms
6- Frequency Polygons
7- Box Plots
8- Bar Charts
9- Additional Readings
Handout: Unit 2 Exercises
Assignment: Using Data to Make Good Decisions
Assignment: Unit 2 Exercises

4- Unit 3: Summarizing Distributions
1- Introduction to Central Tendency
2- What is Central Tendency?
3- Measures of Central Tendency
4- Median & Mean
Assignment: Mean and Median: Are They Stable?
5- Additional Measures
6- Introduction to Variability
7- Measures of Variability
8- Shape
9- Effects of Transformations
10- Variance Sum Law I
11- Additional Readings
Handout: Unit 3 Exercises
Assignment: Changing Data: Effects of Variability
Assignment: Unit 3 Exercises

5- Unit 4: Describing Bivariate Data
1- Introduction to Bivariate Data
2- Values of Pearson Correlation (Correlation Coefficient)
3- Properties of Pearson’s r
4- Computing Pearson’s r
5- Variance Sum Law II
6- Additional Readings
Handout: Unit 4 Exercises
Assignment: Sentences, Words & Reading Level
Assignment: Unit 4 Excercises

6- Unit 5: Probability
1- Introduction to Probability
2- Basic Concepts
3- Binomial Distribution
4- Base Rates
5- Additional Readings
Handout: Unit 5 Exercises
Assignment: Unit 5 Exercises

7- Unit 6: Normal Distributions
1- Introduction to Normal Distributions
2- History of Normal Distributions
3- Areas Under Normal Distributions
4- Standard Normal Distributions
5- Normal Approximation
6- Additional Readings
Handout: Unit 6 Exercises
Assignment: Unit 6 Exercises

8- Unit 7: Sampling Distributions
1- Introduction to Sampling Distributions
2- Sampling Distribution of the Mean
3- Sampling Distribution of Difference Between Means
4- Sampling Distribution of Pearson’s r
5- Sampling Distribution of p
6- Additional Readings
Handout: Unit 7 Exercises
Assignment: Unit 7 Exercises

9- Unit 8: Mid-term Exam/Capstone Project
1- Capstone Project
2- Sample Outline
3- Brainstorming…
Handout: Capstone Project Proposal
Handout: Mid-Term Exam
Assignment: Capstone Project Proposal
Assignment: Mid-Term Exam

10- Unit 9: Estimation
1- Introduction to Estimation
2- Degrees of Freedom
3- Characteristics of Estimators
4- Introduction to Confidence Intervals
5- Confidence Interval for the Mean
6- t Distribution
7- Confidence Intervals for Difference Between Means
8- Confidence Intervals for Pearson’s Correlation
9- Confidence Interval for Proportion
10- Additional Readings
Handout: Unit 9 Exercises
Assignment: Unit 9 Exercises

11- Unit 10: Logic of Hypothesis Testing
1- Introduction to Hypothesis Testing
2- Significance Testing
3- Type I & Type II Errors
4- One- And Two-Tailed Tests
5- Interpreting Significant Results
6- Interpreting Non-Significant Results
7- Steps in Hypothesis Testing
8- Significance Testing & Confidence Intervals
9- Misconceptions
10- Additional Readings
Handout: Unit 10 Exercises
Assignment: Unit 10 Exercises

12- Unit 11: Testing Means
1- Testing a Single Mean
2- Difference Between Two Means (Independent Groups)
3- Pairwise Comparisons Among Means
4- Specific Comparisons
5- Difference Between Means (Correlated Pairs)
6- Specific Comparisons (Correlated Pairs)
7- Pairwise Comparisons (Correlated Pairs)
8- Additional Readings
Handout: Unit 11 Exercises
Assignment: Unit 11 Exercises

13- Unit 12: Power
1- Introduction to Power
2- Example Calculations
3- Factors Affecting Power
4- Additional Readings
Handout: Unit 12 Exercises
Assignment: Unit 12 Exercises

14- Unit 13: Prediction
1- Introduction to Simple Linear Regression
2- Partitioning Sums of Squares
3- Standard Error of the Estimate
4- Inferential Statistics for b and r
5- Influential Observations
6- Regression Toward the Mean
7- Introduction to Multiple Regression
8- Additional Readings
Handout: Unit 13 Exercises
Assignment: Unit 13 Exercises

15- Unit 14: ANOVA
1- Introduction to ANOVA
2- ANOVA Designs
3- One-Factor ANOVA (Between Subjects)
4- Multi-Factor ANOVA (Between Subjects)
5- Unequal Sample Sizes
6- Tests Supplementing ANOVA
7- Within-Subjects ANOVA
8- Additional Readings
Handout: Unit 14 Exercises
Assignment: Unit 14 Exercises

16- Unit 15: Chi Square
1- Chi Square Distribution
2- One-Way Tables
3- Contingency Tables
4- Additional Readings
Handout: Unit 15 Exercises
Assignment: Unit 15 Exercises

17- Unit 16: Capstone Project
1- Capstone Project
2- Sample Outline
Assignment: Capstone Project

18- Unit 17: Course Review / AP Statistics Exam
1- About the AP Statistics Exam
2- AP Statistics Exam Resources
Handout: Final Exam
Assignment: Final Exam

19- Course Survey
Handout: Course Survey
Assignment: Course Survey