1. Welcome to AP Stats!

2. The AP Exam
Thursday, May17, This is during the second week of AP testing and about 4 weeks after Spring Break.
The TEST: 3 hours Multiple Choice Questions, 5 Free-Response Questions, 1 “Investigative Task” Note: NO penalty for guessing!!
You CAN be successful on this exam ONLY IF you put forth the effort ALL YEAR LONG.
I will provide you with LOTS of preparation materials as well as insight on the grading of the exam.

3. What do you Need? You will need the following items for this course:
Graphing Calculator - Required (TI83or84+ recommended)
Notebook - 2 or 3 subject, college-ruled
Folder for tables, handouts, notes, & reading guides etc.
Pencil, pen, highlighter
Strong work ethic and a willingness to ask for help!

4. Your Textbook “The Practice of Statistics, 5e”
by Starnes, Tabor, Yates, & Moore
Available as hard copy and e-book (through Launchpad)
Complete the New Student Registration with your
given access code

5. Course Websites
Check my class page for links to helpful websites. There are some great AP Stats websites.
Launchpad contains tutorials, videos, worked out solutions to selected problems and plenty of practice as well as FRAPPY examples.
I will be posting both all powerpoint presentations on my webpage
Class Code for Google Classroom is:
Period 7 lhqauck
Period af

6. Expectations
My goal is for you to understand Statistics and how it plays a role in your current and future life.
My hope is you will be successful in the course and earn a passing score on the AP Exam.
My expectation is that you will put forth the effort necessary to be successful in a college-level course.
Just remember:
“Nothing will work unless you do.” Maya Angelou

7. THE NITTY GRITTY HOMEWORK: DO IT IN YOUR NOTEBOOK GRADING:
TOTAL POINTS BASED ON HOMEWORK, PROJECTS, AND ASSESSMENTS

8. BE AWARE TO AVOID THE FOLLOWING:
HONOR CODE
BE AWARE TO AVOID THE FOLLOWING:
Cheating – Cheating includes the actual giving or receiving of any unauthorized aid or assistance or the actual giving or receiving of any unfair advantage on any form of academic work, that is homework or testing.
HOWEVER:
Collaboration: Students are encouraged to work together and help each other understand homework questions and class work. “Understand together. Write it up alone.”

9. MRS. MCARTHY’S RULES & POLICIES
SIMPLY:
Be on Time A DETAILED
Be Prepared DISCUSSION OF MY
Be Respectful POLICIES CAN BE FOUND
Be Honest ON MY WEBPAGE.
Be Attentive READ & RETURN
Be a Risk Taker SIGN-OFF SHEET!
Follow school rules.

10. Chapter 1 Exploring Data
Introduction: Data Analysis: Making Sense of Data
1.1 Analyzing Categorical Data
1.2 Displaying Quantitative Data with Graphs
1.3 Describing Quantitative Data with Numbers

11. Introduction Data Analysis: Making Sense of Data
Learning Objectives
After this section, you should be able to…
DEFINE “Individuals” and “Variables”
DISTINGUISH between “Categorical” and “Quantitative” variables
DEFINE “Distribution”
DESCRIBE the idea behind “Inference”

12. What is Statistics?

13. What is Statistics?
Statistics is the science (and art) of learning from data, that is:
Collecting data
Analyzing data
Drawing conclusions from data *

14. WHAT DOES A STATISTICIAN DO???
A Statistician makes sense of the information collected about the world.

15. WHY DO WE NEEDSTATISTICS?? Because……………………..
… anecdotal evidence is not reliable.
… we don’t wish to be lied to.
… spotting trends helps us make good decisions
Simply, we need statistics because we want to make sense of the world. *

16. THERE ARE TWO BRANCHES OF STATISTICS: DESCRIPTIVE STATISTICS (Data Analysis)
The methods of organizing & summarizing data
Graphical techniques
Numerical techniques
INFERENTIAL STATISTICS
Involves making generalizations from a sample to a population
Estimation
Decision making

17. Data Analysis
Statistics is the science of data. Data Analysis is the process of organizing, displaying, summarizing, and asking questions about data.
Individuals
objects described by a set of data
Variable
any characteristic of an individual
Categorical Variable
places an individual into one of several groups or categories.
Quantitative Variable
takes numerical values for which it makes sense to find an average.

18. Dotplot of MPG Distribution
Data Analysis
A variable generally takes on many different values.
We are interested in how often a variable takes on each value.
Distribution
tells us what values a variable takes and how often it takes those values.
Dotplot of MPG Distribution
Variable of Interest:
MPG

19. How to Explore Data Examine each variable by itself.
Then study relationships among the variables.
Start with a graph
or graphs
Add numerical summaries

20. From Data Analysis to Inference
Population
Sample
Collect data from a representative Sample...
Make an Inference about the Population.
Perform Data Analysis, keeping probability in mind…

21. SOME IMPORTANT CAUTIONS:

22. Data Analysis: Making Sense of Data
A dataset contains information on individuals.
For each individual, data give values for one or more variables.
Variables can be categorical or quantitative.
The distribution of a variable describes what values it takes and how often it takes them.
Inference is the process of making a conclusion about a population based on a sample set of data.