Lecture_06,_Chap_3,_Sec_5b

# Lecture_06,_Chap_3,_Sec_5b - Chapter 3 Section 5 Learning...

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Chapter 3 – Section 5 Learning objectives Compute the five-number summary Draw and interpret boxplots 1 2

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5-Number Summary Traditional statistics is to collect data to analyze / test a particular conjecture Is there a correlation between Measurement 1 and Measurement 2? Is Drug A more effective than Drug B? A new approach, Exploratory Data Analysis (EDA) examines data to look for patterns Are there patterns when comparing Group I to Group II to Group III to Group IV? Are there patterns in people’s spending?
5-Number Summary The five-number summary is the collection of the Smallest value (Min) First quartile ( Q 1 or P 25 ) Median (M or Q 2 or P 50 ) Third quartile ( Q 3 or P 75 ) Largest value (Max) These five numbers give a concise description of the distribution of a variable

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5-Number Summary The median Information about the center of the data Resistant The first quartile and the third quartile Information about the spread of the data Resistant The smallest value (min) and the largest value (max) Information about the tails of the data Not resistant
5-Number Summary Compute the five-number summary for 1, 3, 4, 7, 8, 15, 16, 19, 23, 24, 27, 31, 33, 54 Calculations The minimum = 1

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## This note was uploaded on 04/16/2008 for the course STAT 250 taught by Professor Sims during the Spring '08 term at George Mason.

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Lecture_06,_Chap_3,_Sec_5b - Chapter 3 Section 5 Learning...

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