1. Welcome to AP Stats!

2. The AP Exam Thursday, May12, 2015. This is during the second week of AP testing and about 4 weeks after Spring Break. The TEST: 3 hours -- 40 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 I suggest that you buy an AP Review Book such as the Barron’s book early on in the year to help you prepare for tests and the AP exam Strong work ethic and a willingness to ask for help!

4. Your Textbook “The Practice of Statistics, 4e” by Yates, Moore, Starnes Available as a PDF on line Read It Study It Use It Cover your hardcopy and have it with you in class everyday

5. Course Websites Check my class page for links to helpful websites. There are some great AP Stats websites with: Tutorials, Reviews, Notes, Practice tests and AP Questions etc. I will be posting both my powerpoint presentations & the solutions to the chapter exercises Textbook Website: bcs.whfreeman.com/tps4e Resources, Applets, Quizzes

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. 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 TimeA DETAILED Be Prepared DISCUSSION OF MY Be RespectfulPOLICIES CAN BE FOUND Be Honest ON MY WEBPAGE. Be Attentive READ & RETURN Be a Risk TakerSIGN-OFF SHEET! Follow school rules.

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

11. + Introduction Data Analysis: Making Sense of Data 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” Learning Objectives

12. What is Statistics?

13. 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?? B ECAUSE …………………….. … 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 The methods of organizing & summarizing data Graphical techniques Numerical techniques

17. Inferential Statistics Involves making generalizations from a sample to a population Estimation Decision making

18. + Data Analysis Statistics is the science of data. Data Analysis is the process of organizing, displaying, summarizing, and asking questions about data. Definitions: Individuals – objects (people, animals, things) 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.

19. + Data Analysis A variable generally takes on many different values. In data analysis, we are interested in how often a variable takes on each value. Definition: Distribution – tells us what values a variable takes and how often it takes those values Variable of Interest: MPG Dotplot of MPG Distribution Example

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

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

22. ALWAYS REMEMBER:

23. D ATA IS U SELESS WITHOUT :

24. Y OU MUST REMEMBER TO ALWAYS PUT YOUR CONCLUSIONS IN CONTEXT : You must write your answer in reference to the specifics in the problem, using correct statistical vocabulary and using complete sentences!