1. Warm Up Write you height on the board written in inches. Complete the assignment Compare and correct homework solutions 1

2. Warm Up 1. Think of an anecdotal that you have heard that can be studied with statistics. 2. What is a situation from which data can be collected? (Give an example) 3. Read Activity 1 in Section One (Pink Box on Page 4) 2

3. Warm Up 1. Think of an anecdotal that you have heard that can be studied with statistics. 2. Discuss with your partner why we study statistics. 3

4. Warm Up 1) Name three individuals in our classroom. 2) Create five variables that refer to your individuals. 3) Make a table of the information. 4) Identify each of your variables as either categorical or quantitative.  Compare and correct homework solutions 4

5. 5 Section 1.1Part 1 AP Statistics Objective: By the end of the section you should be able to : 1.Identify the individual and variables in a set of data 2.Classify variables as categorical or quantitative.

6. 6 We study statistics because… …anecdotal evidence is not reliable. (Ex: power lines and leukemia) …we do not want to be lied to. (Ex. investigate Media stmnts) …to gain insight and to draw conclusions. (Ex: Global Warming) … spotting trends helps us make good decisions Simply, we study statistics because we want to make sense of the world.

7. 7 Vocabulary Individuals – objects in a data set. Sometimes referred to as x 1, x 2, x 3, etc. Variable – any characteristic of an individual Pair Share: Thinking of the individuals in this room, what might some of their characteristics be?

8. 8 Categorical vs. Quantitative Categorical variables places individuals in one of several groups.(gender, zip code) Quantitative variable takes numerical values for which arithmetic operations like adding make sense. Of the variables describing the members of the class, which are categorical and which are quantitative? When can age be categorical?

9. 9 Distribution “The distribution of a variable tells us what values the variable takes and how often it takes these values.” How distributions differ between categorical and quantitative variables?

10. 10 Bar and Pie Charts Both show relative frequencies of categorical values in a data set.  When we talk about Relative Frequency we are telling about percentages.  Frequency is the count

11. 11 Problems with Pie Charts “There is nothing that can be said in a Pie Chart, that can’t be said better in another chart“ John Tukey, Father of Modern Data Display (Box Plot, Stem and Leaf Plot)

12. 12 Attributes of a “good” chart Title Axis Labels Consistent Scale

13. 13 Assignment Read “Statistical Thinking” Pg. xii-xvi, Pg.1-7 Exercises 1.1 – 1.4 (Pg.7)