1. AP Statistics August 25 th, 2015

2. Get to know your classmates! Guess who

3. Policies and Procedures Fire Drills/Lockdown Student Information Sheet Parent/Course Letter (Website) General Class Rules Calendar Homework/Late Work Policies Vocabulary & Warm Ups (You will need a 1 subject NB!) Group Assignments Calculators Groups create a rule!

4. What does it mean to be an AP student? Get more. With AP, you get to dig deeper into subjects you love. Your school can choose from more than 30 AP courses in subjects that directly reflect your interests. Get hands-on. In AP's immersive courses, you get to learn how things really work. Tackle concepts that will stick with you long after the class is through. Get involved. In AP classes, learning means sharing your ideas and expressing yourself. Add your unique perspective—the dialog and debate contributes to the knowledge that everyone shares. Get support. With AP, you get to explore new ideas with your classmates and AP teachers. See and feel what college work is actually like, while receiving the support to help you get there. Get to know yourself. In AP classes, you can set bigger goals for yourself and do things you never thought possible. AP students can really test and push themselves in a familiar setting while gaining confidence, developing good study habits, and enjoying a great learning experience.

5. Book Assignments

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

7. 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

8. 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

9. 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.

10. CATEGORIES Each of you will be given a variable, tape it on the poster for Categorical or Quantitative!

11. IMPORTANT NOTE! Not every variable that takes number values is quantitative! Don’t be fooled! Quantitative variables are numerical values for which it makes sense to find an average! For Example—ZIP CODES are NOT quantitative, they are categorical, because it doesn’t make sense to talk about the average zip code.

12. Data Analysis A variable generally takes on many differentvalues. In data analysis, we are interested in howoften 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 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

16. 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

17. 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…

18. Homework Get a 1 subject notebook! Get Parent/Course letter signed by YOU and a PARENT/GUARDIAN! Fill out Student Info Sheet Bring 1 box of tissues!