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Which data type is missing from the list below?


CHARACTERISTICS OF VARIABLES

 

TYPE

 

Ratio data           Has a natural zero point and can take any value upwards.

Difference and ratio between any two scores is meaningful.

Continuous data.

eg. age

 

Interval data       Can take any value upwards, but has no natural zero point.

Difference between any two scores is meaningful, but not their ratio.

Continuous data.

eg. dates

 

Ordinal data       Indicates only rank in a series.

Differences not mathematically meaningful.

eg. age groups

 

Categorical data Datapoint is a number that represents membership of a category.

Number has no mathematical value.

eg. gender (1=male, 2=female)

 


in Causal Data Science by Diamond (60,788 points) | 57 views

1 Answer

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Discrete data
by Wooden (2,634 points)

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