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Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Measures of Position Chapter 2 Section 5 Notes Coach Bridges

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Page 1: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Measures of Position

Chapter 2Section 5NotesCoach Bridges

Page 2: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Fractiles Numbers that partition, or divide, an

ordered data set into equal parts The median is a fractile because it

divides an ordered data set into two equal parts

Page 3: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Quartiles There are three quartiles These quartiles approximately divide an

ordered data set into four equal parts One quarter of the data falls on or below the

first quartile Q1 One half the data falls on or below the second

quartile Q2 About three quarters of the data falls on or

below the third quartile Q3

Page 4: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

5 Number Summary

1. Minimum2. Maximum3. Quartile 14. Quartile 2 – Median5. Quartile 3

Page 5: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Examples Find the 3 quartiles of the following

data set

13, 9, 18, 15, 14, 21, 7, 10, 11, 20, 5, 18, 37, 16, 17

Page 6: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

2nd Example Find the 3 quartiles of the following

data set

23, 25, 30, 23, 20, 22, 21, 15, 25, 24, 30, 25, 30, 20, 23, 29, 20, 19, 22, 23, 29, 23, 28, 22, 28

Page 7: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Box and Whisker Plot Find the five-number summary Construct a horizontal scale that

spans the range of the data Plot the five number summary Draw a box from Q1 to Q3 and

vertical line through Q2 Draw Whiskers for min and max

Page 8: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Interquartile Range (IQR) Difference between the first and the

third quartile in a data set IQR = Q3 – Q1

Page 9: Measures of Position Chapter 2 Section 5 Notes Coach Bridges

Standard Score – Z Score

Z = value – mean standard deviation