Differentiating Discrete and Continuous Data

Why is it important to understand the difference between discrete and continuous data?

• To avoid using whole numbers

• To know how to count data accurately

• To apply the correct statistical methods

• To measure data precisely

Which of the following is an example of discrete data?

• The number of books on a shelf

• The weight of fruits

• The height of students in a class

• The time taken to run a marathon

What characteristic defines discrete data?

• It includes fractions and decimals

• It is measured in intervals

• It is always a whole number

• It can be any value on the number line

Which of the following is an example of continuous data?

• The number of cars in a parking lot

• The distance a ball is kicked

• The count of apples in a basket

• The number of students in a classroom

How is continuous data different from discrete data?

• Continuous data is always an integer

• Continuous data is always a whole number

• Continuous data can take any value within a range

• Continuous data is counted

In the interactive section, what type of data is the length of different cars in a car park?

• Nominal data

• Categorical data

• Continuous data

• Discrete data

In the interactive section, what type of data is the number of goals scored in each game over a season?

• Ordinal data

• Interval data

• Continuous data

• Discrete data

In the interactive section, what type of data is the number of people with blue eyes?

• Nominal data

• Discrete data

• Ordinal data

• Continuous data

In the interactive section, what type of data is the time of runners in a 200m sprint?

• Discrete data

• Continuous data

• Nominal data

• Ordinal data

What is the key difference between discrete and continuous data?

• Discrete data is measured, continuous data is counted

• Discrete data is counted, continuous data is measured

• Discrete data can take any value, continuous data is always a whole number

• Discrete data includes fractions, continuous data does not