Transcript Data Classification

Data Classification
Lesson 1.2
Types of Data
 Qualitative data consist of attributes,
labels, or nonnumerical entries
 Quantitative data consist of numerical
measurements of counts
Levels of Measurement
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Nominal
Ordinal
Interval
Ratio
Nominal Level of Measurement
 Data is qualitative
 Categorized using names, labels or
qualities
 This data cannot be used for
mathematical equations.
Ordinal Level of Measurement
 Qualitative or quanitative
 This data can be arranged in an order
 Differences between data entries
have no real meaning
Interval Level of Measurement
 Data can be ordered
 You can calculate meaningful
differences between entries
 Zero is a position on a scale but in
not an inherent zero
Ratio Level of Measurement
 Same as interval with a real zero
 Two data values can be formed so
one value can be expressed as a
multiple of another.
Inherent Zero
 An inherent zero is a zero that implies
“none.”
 When unsure between ratio and
interval, ask yourself what the
meaning of a zero is.
Our Data Collection
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Gender
Height in inches
Money in wallet
Hours you work
Eye color
Shoe size
Ideal temperature
Grade in math class
Data collection
 In doing data collection, if I asked
how many extracurricular activities
you were involved in. What level of
measurement is this?
 If I had asked “What extracurricular
activities are you involved in?”, what
level of measurement is this?
Exercises
 Pg 13-14, #1-6 all, 7-21 odd