Statistics lecture 4 Relationships Between Measurement Variables.
Basic Statistics 1 Measurement -- Professor Stipak presents --
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Transcript of Basic Statistics 1 Measurement -- Professor Stipak presents --
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Basic Statistics 1
Measurement
-- Professor Stipak presents --
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Simple Statistics Example
• How do we report motor vehicle theft rates?
![Page 3: Basic Statistics 1 Measurement -- Professor Stipak presents --](https://reader036.fdocuments.us/reader036/viewer/2022082816/56649cc55503460f9498f162/html5/thumbnails/3.jpg)
Simple Statistics Example
• How do we report motor vehicle theft rates?
• Accepted practice: Thefts per 1000 population
• Alternative: Thefts per 1000 motor vehicles
![Page 4: Basic Statistics 1 Measurement -- Professor Stipak presents --](https://reader036.fdocuments.us/reader036/viewer/2022082816/56649cc55503460f9498f162/html5/thumbnails/4.jpg)
Motor Vehicle Theft Rates:Thefts / 1000 Population
New York City 12
Chicago 16
Philadelphia 19
Los Angeles 20
Detroit 22
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Motor Vehicle Theft Rates:Thefts / 1000 Motor Vehicles
Los Angeles 34
Chicago 45
Detroit 47
Philadelphia 49
New York City 53
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Measurement: Importance
Measurement
Data
Statistics
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Measurement: Overview
• Basic Concepts
• Levels of Measurement
• Validity/Reliability
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Measurement: Basic Concepts
• UOA / Case
• Variable
• Value– Record data in a table: rows-cases, cols-variables
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Measurement: Levels
• Ratio
• Interval
• Ordinal
• Nominal
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Data In Public Agencies
• Types of data in agencies
• Sources of data
• Types of datasets, examples: census data, merged data
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Measurement: Quality
• Reliability of Measurement
• Validity of Measurement
• Measurement Error