Table of Contents

## What are the 3 differences of discrete and continuous?

A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.

## What is the difference between continuous and discrete quantitative data give examples?

Discrete data is a numerical type of data that includes whole, concrete numbers with specific and fixed data values determined by counting. Continuous data includes complex numbers and varying data values that are measured over a specific time interval.

**What is the difference between discrete and continuous variable quizlet?**

The difference between a discrete and continuous variable is in regard to the quantitative variable. A discrete variable takes on individual distinct values, and a continuous variable can take on any value within an interval.

**What is the difference between quantitative discrete and continuous?**

Quantitative variables may be discrete or continuous. Discrete variables can only take on a limited number of values (e.g., only whole numbers) while continuous variables can take on any value and any value between two values (e.g., out to an infinite number of decimal places).

### What is the difference between a continuous variable and a discrete variable?

Discrete and continuous variables are two types of quantitative variables: Discrete variables represent counts (e.g. the number of objects in a collection). Continuous variables represent measurable amounts (e.g. water volume or weight).

### What is a 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!

**What is the difference between qualitative discrete and continuous data?**

Qualitative vs Quantitative Data can be qualitative or quantitative. Quantitative data can be Discrete or Continuous: Discrete data can only take certain values (like whole numbers) Continuous data can take any value (within a range)

**What is a continuous data?**

Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.

#### What are 3 examples of discrete data?

Examples of discrete data:

- The number of students in a class.
- The number of workers in a company.
- The number of parts damaged during transportation.
- Shoe sizes.
- Number of languages an individual speaks.
- The number of home runs in a baseball game.
- The number of test questions you answered correctly.

#### What is the difference between discrete series and continuous series?

Discrete series is constructed from discrete variables. Continuous series is constructed from continuous variables.

**What is discrete example?**

Some common examples of discrete data are the number of students, the number of children, the shoe size, and so on. Some common examples of continuous data are height, weight, length, time, temperature, age, and so on. Ordinal data values and integer values represent discrete data.

**What is discrete data example?**

Examples of discrete data The number of customers who bought different items. The number of computers in each department. The number of items you buy at the grocery store each week.

## What is discrete data?

## What is continuous data example?

Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data. Some continuous data will change over time; the weight of a baby in its first year or the temperature in a room throughout the day.

**What is continuous data?**