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AP Statistics Chapter 2. The Five Ws *Who -are the cases *What -are the variables ( gives information about each of the cases) *Why -helps us to decide.

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AP Statistics Chapter 2. The Five Ws *Who -are the cases *What -are the variables ( gives information about each of the cases) *Why -helps us to decide.

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Presentation on theme: "AP Statistics Chapter 2. The Five Ws *Who -are the cases *What -are the variables ( gives information about each of the cases) *Why -helps us to decide."— Presentation transcript:

1 AP Statistics Chapter 2

2 The Five Ws *Who -are the cases *What -are the variables ( gives information about each of the cases) *Why -helps us to decide which way to treat the variable When - Where - *hoW- can make the difference between insight and nonsense

3 Classification of Variables Categorical variables- indentify a category for each case. ( usually think about counts of cases that fall into each category) or a variable that names categories can by with numerals or words Quantitative variables- record measurements or amounts of something. Must have units or a variable in which the numbers act as numerical values

4 Vocabulary Context- The context ideally tells Who was measured, What was measured, How the data were collected, and the when and the why the study was performed. Data -Systematically recorded information, whether number or labels, together with its context.

5 Vocabulary Continued Data Table- An arrangement of data in which each row represents a case and each column represents a variable. Case - is an individual about whom or which we have data. Population - all cases we wish we knew about Sample -the cases we actually examine in seeking to understand the much larger population

6 Vocabulary Continued Variable - hold the information about the same characteristic for many cases. Units- a quantity or amount adopted as a standard measurement, such as dollars, hours or grams

7 Our data collection What are some of the things you learned about the class by inspecting our data?

8 Our data Student Gend e rLengthheight# lettersstatessiblingspoliticalpennystat 1F31.257101MA4 2M10.2511171MA4 3F20.51221LK4 4F20.58141MK3 5M2112151LK5 8M322132MK5 9M1.250.2516122CK4 10F311371K4 11F20.751353LK5 12F20.12510 0MK4 13F20.512151MK4 14M119130MK5 15F20.2513161LK4 M20.514172LK4 M20.2510252MA5 18F20.651351LK4 19M2612101MK5

9 Example 2 Consider the numbers 17, 21, 44, 76. Are those data?

10 Example 2 cont 17, 21, 44, 76 Context is critical- they could be test score, ages in a golf foursome, or uniform numbers of the starting backfield on the football team. Our reaction changes

11 Example 3 What are the five Ws of the following data A consumer repots article on energy bars gave the name brand, flavor, price, number of calories, and grams of protein and fat. Who: What: When: Where: How : Why:

12 Example 3 cont Categorical Variables: Quantitative Variables:

13 Example 4 A report on the Boston Marathon listed the runners gender, country, age, and time. Who: What: When: Where: How : Why:

14 Example 5 Cont Categorical Variables: Quantitative Variables:


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