Chapter 16 Exploring, Displaying, and Examining Data McGraw-Hill/Irwin Business Research Methods,...
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Transcript of Chapter 16 Exploring, Displaying, and Examining Data McGraw-Hill/Irwin Business Research Methods,...
Chapter 16Chapter 16
Exploring, Exploring, Displaying, and Displaying, and Examining DataExamining Data
McGraw-Hill/IrwinBusiness Research Methods, 10e
Copyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved.
16-2
Learning Objectives
Understand . . .• That exploratory data analysis techniques
provide insights and data diagnostics by emphasizing visual representations of the data.
• How cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making.
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PulsePoint: Research Revelation
67 The percent of college students who see nothing unethical about swapping or downloading digital copyrighted files (software, music, movies) without paying for them.
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Research Values the Unexpected
“It is precisely because the unexpected jolts us out of our preconceived notions, our assumptions, our certainties, that it is such a fertile source of innovation.”
Peter Drucker, authorInnovation and Entrepreneurship
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Researcher Skill Improves Data Discovery
DDW is a global player in research services. As this ad proclaims, you can “push data into a template and get the job done,” but you are unlikely to make discoveries using that process.
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Stem-and-Leaf Display
455666788889
12466799
02235678
02268
24
018
3
1
06
3
36
3
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Guidelines for Using Percentages
Averaging percentagesAveraging percentages
Use of too large percentagesUse of too large percentages
Using too small a baseUsing too small a base
Percentage decreases can never exceed 100%
Percentage decreases can never exceed 100%
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Exploratory Data Analysis
This Booth Research Services ad suggests that the researcher’s role is to make sense of data displays.
Great data exploration and analysis delivers insight from data.
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Key Terms
• Automatic interaction detection (AID)
• Boxplot• Cell• Confirmatory data
analysis• Contingency table• Control variable• Cross-tabulation• Exploratory data
analysis (EDA)
• Five-number summary• Frequency table• Histogram• Interquartile range (IQR)• Marginals• Nonresistant statistics• Outliers• Pareto diagram• Resistant statistics• Stem-and-leaf display