1. Major Topics first semester by chapter
AP Statistics
Major Topics first semester by chapter

2. The dirty details
2nd period takes final on 12-20; fifth period takes it on 12-21
The final is 50 multiple choice questions.
The final will replace your lowest test grade if higher.
The final counts 20% for everyone. (that is about 3 test grades)
You get the same blue formula sheet that you have your unit tests.
Each chapter is represented fairly evenly, so expect about 6-8 questions per chapter.
Major topics per chapter are on the slides that follow
Advice: do a little everyday, use review guide to help you, feel free to come look at old tests if you want.

3. Breakdown by chapter
Chapter One: Shapes of distributions and measures of Center: 6 questions
Chapter 2: Normal distributions: 10 Questions
Chapter 3: Regression: 8 Questions
Chapter 4: Collecting Data: 10 questions
Chapter 5: Basic Probability: 4 questions
Chapter 6: Discrete Random Variables: 10 Questions
Chapter 7: Distribution of sample statistics and CLT: 2 Questions

4. Chapter 4: Collecting Data
Ways to collect data
SRS
Stratified Random Sample
Systematic Sample
Cluster Sample
Ways to sample badly
Idea of Bias
Observation vs Experiment (stratified vs blocking)
Placebo Effect
Blind vs. Double blind
When can we make decisions about results?

5. Chapter One: Intro to Data
Categorical vs Quantitative Data
Different types of graphs and what they show
Shapes of distributions
Describing Distributions (SOCCS)
Numerical centers and spreads of distributions
Mean
Median
Mode
Range
Variance
Standard Deviation
5 number summary
How skewed Data and outliers effect the above.

6. Chapter 2: Modeling Data
Percentiles
Z-scores and how to interpret
Effects of Transformations on data. (adding or multiplying data by a constant)
Normal Distributions
Empirical Rule
The “standard Normal Distribution”
Using Z-scores and normal table
Calculator commands (normalcdf and invnorm)
Assessing Normality with the normal plot.

7. Chapter 3: Regression Explanatory vs Response Variable
DFS: Direction, Form and Strength of a Distribution.
Calculating the Least Square Regression Line
Interpreting Slope and y-intercept
Making predictions with y-hat, when you can
Outliers vs influential points.
Interpreting r and r-squared.
Interpreting Residuals

8. Chapter 5: Probability(Everyone’s Favorite)
What probability is trying to tell us?
Sample Space
Rules for Probability
Independent and disjoint (mutually exclusive)
AND & OR (what to do)
Conditional Probability
Simulations

9. Chapter 6: Probability Distributions
Discrete vs continuous random variables
What makes a legitimate probability distribution
Expected Value of a probability distribution
Standard deviation of a probability distribution
Is a game fair?
Binomial vs. Geometric random variable; how do you check
Mean and standard deviation of a binomial random variable
Calculator syntax.

10. Chapter Seven: Sampling Distributions
Parameters vs. Statistics
How x-bar and p-hat behave
Precision vs accuracy
Normal Calculations
What happens if data is not normal? CLT
When can you treat distribution of p-hat as a normal distribution
As sample size goes up what happens to summary statistics, particularly standard deviation?