Discrete and Continuous Data

What type of data is the number of animals in a zoo?

• Continuous Data

• Nominal Data

• Discrete Data

• Ordinal Data

What is Continuous Data?

• Data that can only take on specific values

• Data that can take on any value within a given range

• Data that is categorical in nature

• Data that is always whole numbers

What is the main difference between discrete and continuous data?

• Discrete data consists of distinct values, while continuous data can take any value within a range.

• Discrete data can take any value within a range, while continuous data consists of distinct values.

• Discrete data is always numerical, while continuous data is always categorical.

• Discrete data is measured in intervals, while continuous data is counted in whole numbers.

What is Discrete Data?

• Data that can take on any value within a range

• Data that is countable and can take on only specific values

• Data that is measured on a continuous scale

• Data that represents categories without a numerical value

Can discrete data be represented on a number line?

• Yes, discrete data can be represented on a number line.

• No, discrete data cannot be represented on a number line as it consists of distinct, separate values.

• Discrete data can be approximated on a number line.

• Only continuous data can be represented on a number line.

Give an example of continuous data in real life.

• The number of students in a classroom.

• The temperature measured in degrees Celsius.

• The number of cars in a parking lot.

• The number of pages in a book.

Can continuous data be represented on a number line?

• Yes, continuous data can be represented on a number line as it can take any value within a range.

• No, continuous data cannot be represented on a number line.

• Only discrete data can be represented on a number line.

• Continuous data can only be represented in a graph, not on a number line.

What type of data is represented by the result of rolling a dice?

• Continuous Data

• Nominal Data

• Discrete Data

• Ordinal Data

Is the time taken to run a race discrete or continuous data?

• Discrete Data

• Continuous Data

• Categorical Data

• Nominal Data

Give an example of discrete data in real life.

• The height of a person in centimeters.

• The number of books on a shelf.

• The temperature in degrees Celsius.

• The weight of a bag of flour in grams.