Discrete and Continuous Data Concepts

The video tutorial explains the difference between discrete and continuous data. Discrete data can only take certain values, such as shoe sizes or the number of people, while continuous data can take any value on a scale, like height or time. The video provides examples of each type and discusses special cases like money, which can be both discrete and continuous. It concludes with practice questions to help organize data into these categories.

What type of data can only take specific values?

• Continuous data

• Quantitative data

• Discrete data

• Qualitative data

Which of the following is an example of discrete data?

• Time taken to run a race

• Weight of a book

• Height of a person

• Shoe size

Why is the number of people in a room considered discrete data?

• Because it can take any value

• Because it is always a decimal

• Because it is countable and takes specific values

• Because it can be measured on a scale

What is a key characteristic of continuous data?

• It can take any value on a scale

• It is always an integer

• It is always a fraction

• It can only take whole numbers

Which of the following is NOT an example of continuous data?

• Weight of an object

• Height of a plant

• Number of students in a class

• Time taken to complete a task

How is money typically classified in terms of data type?

• As qualitative data

• As nominal data

• As continuous data

• As discrete data

Why are stock values considered continuous?

• Because they can only take whole numbers

• Because they can take any value on a scale

• Because they are always integers

• Because they are always positive

What type of data is the height of a plant?

• Qualitative data

• Continuous data

• Discrete data

• Nominal data

Which of the following is an example of discrete data?

• The time taken to boil water

• The weight of a bag

• The number of books on a shelf

• The length of a river

What type of data is the time taken to run 100 meters?

• Nominal data

• Qualitative data

• Discrete data

• Continuous data