Why wait for University when you can start (or have already started) NOW. Congratulations on selecting AP Statistics 12! From a mathematics perspective, it is one of the most useful topics you’ll ever take. EVERY degree (ok, maybe not every but close) benefits from an understanding of statistical reasoning and, in a lot of cases, is accepted as your math requirement. There is one misnomer however, and that’s the idea that this is a MATH class! Yes, there’s math, but the hardest part of statistics is the philosophy behind the calculations; why are we doing what we’re doing, and for what purpose. You will become the conveyors of truth, absent bias, explaining just what data sets mean and how to use them to extrapolate future events.

One warning. This course is loaded…and I mean LOADED with information that you’ll need come AP test time, and though I do my best to expose you to the majority of it, this course will require quite a bit of self driven work. Most of my teaching will connect to the text, however the text is meant to be a resource for you to use. That means it is expected you take the time to read and work on questions in the text, even if they weren’t assigned (and in a lot of cases homework won’t be from the text). I do promise that come AP test time, you’ll have seen all you need to succeed. Welcome!

**Course Calendar**

**AP Test Prep Resources**

Inference Classification Practice

Collegeboard.org for AP Statistics

Elementary Statistics (lots of resources)

**Course Information**

Google Classroom ID: 99ykrm4

Socrative ID: APSTATISTICS12 (you will need your student ID)

**September 8, 2016**

Here is the file with all the reaction time info you need. Now make a graph or graphs that will tell us something about the relationship (if any) between the variables and reaction time.

**September 12, 2016**

1.1 – Analyzing Categorical Data Notes

**September 14, 2015**

1.1 – Analyzing Categorical Data Part 2 Notes

**September 16, 2016**

1.2 – Displaying Quantitative Data

**September 20, 2016**

1.3 Part 1 – Describing Quantitative Data with Numbers

1.3 In-Class Assignment (on notes package)

**September 22, 2016**

**September 30, 2016**

**October 4, 2016**

2.1 Part 2 – Transformations & Density Curve Notes (with assignment)

**October 6, 2016**

2.2 – Normal Distribution Notes (with assignment)

2.2 Part 1 Assignment Solutions

**October 12, 2016**

2.2 Part 2 – Assessing Normality Notes

2.2 Part 2 – Assessing Normality Assignment

2.2 Part 2 – Assessing Normality Assignment Solutions

**October 19, 2016**

Chapter 2 Assignment Solutions

**October 24, 2016**

3.1 – Scatterplot and Correlation Notes

**October 26, 2016**

3.2 – Least Squares Regression Line Notes

**November 3, 2016**

**November 15, 2016**

**November 22, 2016**

Here is the answer key to your chapter 4 assignment!

**November 25, 2016**

5.1 – Probability and Simulation Notes

**December 1, 2016**

5.2 The Basic Laws of Probability Notes

**December 7, 2016**

5.3 – Conditional Probability & Independence Notes

**December 9, 2016**

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**____________________________Happy New Year!!!!____________________________**

**January 3, 2016**

6.1 – Discrete and Continuous Random Variable Notes

6.1 Part II – Mean & Variance of Random Variable Notes

6.1 Part II Assignment Solutions

**January 5, 2016**

6.2 Part I Transforming Random Variables Notes

6.2 Part I Assignment Solutions

6.2 Part II – Combining Random Variables Notes

6.2 Part II Assignment Solutions

**January 9, 2017**

6.3 Part I – Binomial Distribution Notes

6.3 Part II – Normal Approx Notes

6.3 Part III – Geometric Distribution Notes

**January 11, 2017**

6.3 Part I Assignment Solutions

6.3 Part II Normal Approx Solutions

6.3 Part III Assignment Solutions

**January 16, 2017**

**January 23, 2017**

**January 25, 2017**

**January 27, 2017**

**February 14, 2017**

**February 16, 2017**

8.2 – Estimating a Population Proportion

**February 20, 2017**