1. + AP Statistics BootCamp 2012 Chapter 1: Exploring Data Verify your contact info Find your team Get credit for your statistical article

2. + Bellringer: List as many things as you can that you all have in common. You have 1 minute. Ex: We all are wearing a blue shirt. Ex: We all like to swim. Ex: We all have an older brother. Etc.

3. + Boot Camp Basics 9am-1pm Mon-Thurs Be on time and prepared! AP Statistics Test: Friday, May 10 at noon Resources: Your Teacher Your TA’s Your Textbook The Website: whfreeman.com/tps4e Calculators Software Programs Other Resources Each Other!!!!!!! We will complete Ch. 1 over the next four days. You will have some homework to practice what we do in class. Our goal for today: Introduction and Section 1.1. But really, we want to be able to define the discipline of statistics.

4. + Did You Know? How much do you know about your classmates? Without looking, what is the most common eye color in your class? Without asking, how many siblings does a “typical” classmate have? In this activity, you’ll begin by collecting some data to help you answer these questions. Then, you’ll work with your team to analyze the data. 1. Record your eye color and number of siblings on the board. 2. Work with your teammates to produce a graph that displays the eye color data effectively. Add any numerical information that you think helps summarize the data. 3. Share your team’s analysis with the rest of the class. What is the most common eye color? 4. Now, work with your teammates to produce a graph that displays the sibling data effectively. Add any numerical information that you think helps summarize the data. 5. Share your team’s analysis with the rest of the class. How many siblings does a “typical” student have?

5. + So what is the discipline of Statistics? In your teams, share your statistical articles. Pick one to read and analyze together. Complete the Statistical Article Analysis Sheet together as a group. Share out your two-sentence summary of article analysis.

6. + Textbooks. Turn to the Overview on page xxviii Read intro together. Jigsaw other 5 sections. Each group assigned one section to read and summarize to share out to us. Share out your Summaries

7. + Ch. 1 Introduction Lecture & Notes I will post these online for you to look at later but take notes on the following: Vocabulary & Definitions Strategies/Processes Things I say that are not on the PowerPoint Examples References to pages in book

8. + The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE Chapter 1: Exploring Data Introduction Data Analysis: Making Sense of Data Statistics

9. + 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

10. + 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

11. + 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.

12. + Data Analysis A variable generally takes on many different values.In data analysis, we are interested in how often avariable 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

13. + 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

14. + 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.

15. Activity: Hiring Discrimination Follow the directions on Page 5 Perform 5 repetitions of your simulation. Turn in your results to your teacher. Teacher: Right-click (control-click) on the graph to edit the counts. Data Analysis Statistics

16. Read & Question Section 1.1 (pages 8-21) Clarifying Questions Procedural Questions Reflective Questions HW: 2, 4, 5, 7, 8

17. + Introduction Data Analysis: Making Sense of Data In this section, we learned that… 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. Summary

18. + Looking Ahead… We’ll learn how to analyze categorical data. Bar Graphs Pie Charts Two-Way Tables Conditional Distributions We’ll also learn how to organize a statistical problem. In the next Section…