# which of the following consists of discrete data

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which of the following consists of discrete data

Discrete data consists of data that can be counted, such as the number of students in a classroom or the number of apples in a bag. Discrete data can only take certain values, unlike continuous data, which can take any value within a certain range.

Discrete data can be used to count the number of items in a sample, measure the frequency of a certain event, or compare the quantity of one item to another.

Q1. What is the difference between discrete and continuous data?

A1. The main difference between discrete and continuous data is that discrete data can only take certain values, whereas continuous data can take any value within a certain range.

For example, the number of students in a classroom is discrete data because it can only take certain values, while the height of a person is continuous data because it can take any value within a certain range.

Q2. What is an example of discrete data?

A2. An example of discrete data is the number of apples in a bag. Discrete data can only take certain values, so in this example, the number of apples can only be an integer like 3, 4, 5, etc.

Q3. How can discrete data be used?

A3. Discrete data can be used to count the number of items in a sample, measure the frequency of a certain event, or compare the quantity of one item to another. For example, discrete data can be used to count the number of people who attend a concert or compare the number of cars in a city.

Q4. Is age discrete or continuous data?

A4. Age is usually considered to be discrete data since it can only take certain values like 18, 19, 20, etc.

Q5. What is the difference between categorical and discrete data?

A5. The main difference between categorical and discrete data is that categorical data is used to classify data into groups or categories, while discrete data is used to count the number of items in a sample, measure the frequency of a certain event, or compare the quantity of one item to another.

For example, a person’s gender is categorical data, while the number of books in a library is discrete data.