**Types of Variables**

**Categorical**

Qualitative data are often termed

A variable that has two or more categories, without any implied ordering.

A variable that has two or more categories, with clear ordering.

**categorical data**. Data that can be added into**categories**according to their characteristics.**Nominal Variable (Unordered list)**A variable that has two or more categories, without any implied ordering.

**Examples :**- Gender - Male, Female
- Marital Status - Unmarried, Married, Divorcee
- State - New Delhi, Haryana, Illinois, Michigan

**Ordinal Variable (Ordered list)**

A variable that has two or more categories, with clear ordering.

**Examples :**

- Scale - Strongly Disagree, Disagree, Neutral, Agree, Strongly Agree
- Rating - Very low, Low, Medium, Great, Very great

**Interval**

An interval variable is similar to an ordinal variable, except that the intervals between the values of the interval variable are equally spaced. In other words, it has order and equal intervals.

**Examples :**

- Temperature in Celsius - Temperature of 30°C is higher than 20°C, and temperature of 20°C is higher than 10°C. The size of these intervals is the same.
- Annual Income in Dollars - Three people who make $5,000, $10,000 and $15,000. The second person makes $5,000 more than the first person and $5,000 less than the third person, and the size of these intervals is the same.

**Ratio**

It is interval data with a natural zero point. When the variable equals 0.0, there is none of that variable.

**Examples :**

- Height
- Weight
- Temperature in Kelvin - It is a ratio variable, as 0.0 Kelvin really does mean 'no temperature.

so simple.is written in an understandable form

ReplyDeleteA very good start for the beginners to continue their journey till they become master

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ReplyDeleteWow

ReplyDeleteReally great approach to learn statistics in easy way and understandable format

ReplyDeleteSo a ratio is a subtype of interval data : may you correct the tree chart ?

ReplyDelete