Data Classification. Qualitative Data: consists of attributes, labels, or nonnumerical entries. ...
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Transcript of Data Classification. Qualitative Data: consists of attributes, labels, or nonnumerical entries. ...
Data Classification
Qualitative Data: consists of attributes, labels, or nonnumerical entries. Examples: red, Mr. Smith, Dogs
Quantitative Data: consists of numerical measurements or counts. Examples: 5.5 inches, 10, $23,290
DATA classification
Telephone number Qualitative
Length of a song Quantitative
Responses in an opinion poll Qualitative
Qualitative VS Quantitative
An inherent zero represents the position on the number line.
Not an inherent zero implies that there are none.
Inherent zero
Nominal Are Qualitative only Can be categorized by names, labels, or qualities Can’t do mathematical calculations Example: Colors, Music
Ordinal Are Qualitative and Quantitative Can be put in order or ranked, but difference
between them are meaningless. Examples: Top 5 teachers, movies
4 levels of Measurement
Interval Can be ordered and you can calculate meaningful differences. Zero is not an inherent zero. Examples: 1999, 2001, 2004, 2008, 2009, 2010
Temperature Ratio
Is similar to interval but 0 is an inherent zero. Find ratios of values Can’t go below zero. Examples: Red Sox: 128 homeruns, Pirates: 78 homeruns
Precipitation
4 levels of Measurement
Body temperature in Fahrenheit of a swimmer interval
Collection of phone numbers nominal
Final standings for football Northeaster Conference ordinal
Heart rate (beats per minute) of an athlete. Ratio
Examples
Levels of Measurement Put data Arrange data Subtract data Determine if one in categories in order values data valuse is a
multiple of anotherNominal Yes No No NoOrdinal Yes yes No NoInterval Yes yes Yes No
Ratio Yes Yes Yes Yes
Chart
Homework: pg 15: 8- 24 Even