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

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.

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

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?

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.

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.

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

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

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.

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?