## Can discrete variables be quantitative?

A discrete quantitative variable is one that can only take specific numeric values (rather than any value in an interval), but those numeric values have a clear quantitative interpretation. Examples of discrete quantitative variables are number of needle punctures, number of pregnancies and number of hospitalizations.

### Are binary variables quantitative?

Usually, continuous quantitative variables are represented as floats, discrete quantitative variables as integers, binary variables as booleans, nominal categorical variables as strings, and ordinal categorical variables as integers or strings.

#### Is a binary variable categorical or quantitative?

nominal

Categorical or nominal For example, a binary variable (such as yes/no question) is a categorical variable having two categories (yes or no) and there is no intrinsic ordering to the categories.

**Is discrete quantitative or categorical?**

quantitative variables

Discrete variables are indeed a category of quantitative variables. Categorical variables, however, are not numeric. Therefore, they cannot be classified as continuous variables.

**Are discrete variables qualitative?**

Variables that can only take on a finite number of values are called “discrete variables.” All qualitative variables are discrete. Some quantitative variables are discrete, such as performance rated as 1,2,3,4, or 5, or temperature rounded to the nearest degree.

## Is binary a discrete variable?

Binary. Binary data is discrete data that can be in only one of two categories — either yes or no, 1 or 0, off or on, etc. Binary can be thought of as a special case of ordinal, nominal, count, or interval data. Binary data is a very common outcome variable in machine learning classification problems.

### Is binary data quantitative or qualitative?

As a form of categorical data, binary data is nominal data, meaning they represent qualitatively different values that cannot be compared numerically.

#### Is discrete data qualitative or quantitative?

Quantitative Flavors: Continuous Data and Discrete Data There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous. Discrete data is a count that can’t be made more precise.

**What is a non binary categorical variable?**

Encoding Non-Binary Categorical Variables A particular dummy variable is equal to one for observations that fall in the related category, and is zero otherwise. For example, assume that we have a categorical variable Z with four levels: A, B, C, and D.

**Is discrete data quantitative or qualitative?**

## What is quantitative variable?

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups.

### Can qualitative data be binary?

Qualitative Flavors: Binomial Data, Nominal Data, and Ordinal Data. When you classify or categorize something, you create Qualitative or attribute data. There are three main kinds of qualitative data. Binary data place things in one of two mutually exclusive categories: right/wrong, true/false, or accept/reject.

#### What is binary in quantitative research?

A binary variable measures a quantity that has only two categories. Social scientists often engage in binary thinking in categorizing social phenomena, such as the public and the private, Gemeinschaft and Gesellschaft, the micro and the macro, and so on.

**Can discrete data be qualitative?**

Data can be qualitative or quantitative. Quantitative data can be Discrete or Continuous: Discrete data can only take certain values (like whole numbers)

**What are the examples of quantitative variables?**

Height, weight, response time, subjective rating of pain, temperature, and score on an exam are all examples of quantitative variables.

## What are examples of quantitative variables?

### What is discrete data?

Discrete data is information that can only take certain values. These values don’t have to be whole numbers (a child might have a shoe size of 3.5 or a company may make a profit of £3456.25 for example) but they are fixed values – a child cannot have a shoe size of 3.72!

#### Is binary data discrete data?

Binary data is discrete data that can be in only one of two categories — either yes or no, 1 or 0, off or on, etc. Binary can be thought of as a special case of ordinal, nominal, count, or interval data.

**Are binary variables discrete?**

Binary variables are a sub-type of dichotomous variable; variables assigned either a 0 or a 1 are said to be in a binary state. For example Male (0) and female (1). Dichotomous variables can be further described as either a discrete dichotomous variable or a continuous dichotomous variable.

**What is discrete variable and continuous variable?**

Discrete variable. Discrete variables are numeric variables that have a countable number of values between any two values. A discrete variable is always numeric. For example, the number of customer complaints or the number of flaws or defects. Continuous variable.

## What are quantitative variables?

Quantitative variables When you collect quantitative data, the numbers you record represent real amounts that can be added, subtracted, divided, etc. There are two types of quantitative variables: discrete and continuous.

### What is the difference between categorical and quantitative data?

Quantitative variables can be classified as discrete or continuous. Categorical variables contain a finite number of categories or distinct groups. Categorical data might not have a logical order.

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

Categorical variable Categorical variables contain a finite number of categories or distinct groups. Discrete variables are numeric variables that have a countable number of values between any two values. Continuous variables are numeric variables that have an infinite number of values between any two values.