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Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You can tailor data collection to your specific research aims (e.g. understanding the needs of your consumers or user testing your website) You can control and standardize the process for high reliability and validity (e.g. choosing appropriate measurements and sampling methods )

## What is the difference between categorical and quantitative variables quizlet?

What is the difference between categorical and quantitative​ variables? A variable is called categorical if each observation belongs to one of a set of categories. A variable is called quantitative if observations on it take numerical values that represent different magnitudes of the variable.

## What is the difference between categorical and qualitative variables?

Qualitative data contains categorical variables and quantitative data contains numerical variables. Categorical variables come in nominal or ordinal flavours, whereas numerical variables can be discrete or continuous.

## What are examples of categorical variables?

Examples of categorical variables are race, sex, age group, and educational level. While the latter two variables may also be considered in a numerical manner by using exact values for age and highest grade completed, it is often more informative to categorize such variables into a relatively small number of groups.

## What is an example of quantitative variable?

As discussed in the section on variables in Chapter 1, quantitative variables are variables measured on a numeric scale. Height, weight, response time, subjective rating of pain, temperature, and score on an exam are all examples of quantitative variables.

– Categorical variables are also called qualitative variables or attribute variables. The values of a categorical variable are mutually exclusive categories or groups. Categorical data may or may not have some logical order.

A variable can be classified as one of the following types: Categorical variables Categorical variables are also called qualitative variables or attribute variables. Quantitative variables The values of a quantitative variable are numbers that usually represent a count or a measurement. Often, you will collect both categorical data and quantitative data when exploring a single subject. Categorical variables are often used to group or subset the data in graphs or analyses. Here are some examples of categorical and quantitative data that you could collect when exploring the same subject: Subject of the analysisPossible categorical variables Possible quantitative variables Household appliance sales Type of appliance; Make and model Automobile body painting Paint flaws (peel, scratch, smudge, other); Paint colors Temperature of metal to be painted; Thickness of paint layer The following tables show examples of categorical and quantitative variables for different types of data: Data typeExamples Gender (1=Female, 2=Male) Survey results (1=Agree, 2=Neutral, 3=Disagree) Payment method (Cash or Credit) Machine settings (Low, Medium, High) Product types (Wood, Plastic, Metal) Days of the week (Monday, Tuesday, Wednesday) Months of the year (January, February, March) Data typeExamples Number of customer complaints Proportion of customers eligible for a rebate Fill weight of a cereal box Date and time payment is received Date and time of technical support incident