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