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The first step to understanding data is understanding some of the basics of data and the information contained within a data set.
The first step to understanding data is understanding some of the basics of data and the information contained within a data set.
In statistics, a variable has two defining characteristics:
In statistics, a variable has two defining characteristics:
A variable is an attribute that describes a person, place, thing, or idea.
A variable is an attribute that describes a person, place, thing, or idea.
The value of the variable can "vary" from one entity to another.
The value of the variable can "vary" from one entity to another.
AP Statistics: What are variables? (5:39)
AP Statistics: What are variables? (5:39)
365 Data Science: Types of Data: Categorical vs Numerical Data (4:13)
365 Data Science: Types of Data: Categorical vs Numerical Data (4:13)
NurseKillam- Nominal, ordinal, interval and ratio data: How to Remember the difference (11:03)
NurseKillam- Nominal, ordinal, interval and ratio data: How to Remember the difference (11:03)
Measurement scales are used to categorize and/or quantify variables. This lesson describes the four scales of measurement that are commonly used in statistical analysis: nominal, ordinal, interval, and ratio scales.
Measurement scales are used to categorize and/or quantify variables. This lesson describes the four scales of measurement that are commonly used in statistical analysis: nominal, ordinal, interval, and ratio scales.
Handbook of Biological Statistics (McDonald)
Handbook of Biological Statistics (McDonald)
There are three main types of variables: measurement variables, nominal variables, and ranked variables.
There are three main types of variables: measurement variables, nominal variables, and ranked variables.
You need to identify the types of variables in an experiment in order to choose the correct method of analysis.
You need to identify the types of variables in an experiment in order to choose the correct method of analysis.
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