内容正文:
Chapter
Introduction to Statistics
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
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Larson/Farber 7th ed
Chapter 1
Chapter Outline
1.1 An Overview of Statistics
1.2 Data Classification
1.3 Data Collection and Experimental Design
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Chapter 1
Larson/Farber 7th ed
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Section 1.2
Data Classification
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Chapter 1
Larson/Farber 7th ed
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Section 1.2 Objectives
How to distinguish between qualitative data and quantitative data
How to classify data with respect to the four levels of measurement: nominal, ordinal, interval, and ratio
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Chapter 1
Larson/Farber 7th ed
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Types of Data
Qualitative Data
Consists of attributes, labels, or nonnumerical entries.
Major
Place of birth
Eye color
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Chapter 1
Larson/Farber 7th ed
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Types of Data
Quantitative data
Numerical measurements or counts.
Age
Weight of a letter
Temperature
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Chapter 1
Larson/Farber 7th ed
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Example: Classifying Data by Type
The table shows sports-related head injuries treated in U.S. emergency rooms during a recent five-year span for several sports. Which data
are qualitative data and which
are quantitative data?
(Source: BMC Emergency
Medicine)
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
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Larson/Farber 7th ed
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Solution: Classifying Data by Type
Quantitative Data (Head injuries treated are numerical entries.)
Qualitative Data (Types of sports are nonnumerical entries.)
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
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Larson/Farber 7th ed
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Levels of Measurement
Nominal level of measurement
Qualitative data only
Categorized using names, labels, or qualities
No mathematical computations can be made
Ordinal level of measurement
Qualitative or quantitative data
Data can be arranged