Understanding Discrete and Continuous Data

The video tutorial from MooMooMath and Science explains the differences between discrete and continuous data. Discrete data is counted and cannot be divided, while continuous data is measured and can be divided infinitely. Examples of discrete data include the number of dogs or students, whereas continuous data examples include the weight of a dog or the height of students. The video also covers how these data types can be graphed, with discrete data typically represented on bar graphs and continuous data on histograms or line graphs. The tutorial concludes with a call to subscribe for more educational content.

What is the primary characteristic of discrete data?

• It is counted and cannot be divided.

• It is always a decimal.

• It is measured.

• It can be divided infinitely.

Which of the following is an example of continuous data?

• Number of books on a shelf

• Height of a student

• Number of students in a class

• Amount of money in a wallet

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

• Number of cars in a parking lot

• Weight of a cat

• Number of apples in a basket

• Number of chairs in a room

What type of data is the time it takes to run a mile?

• Discrete data

• Continuous data

• Qualitative data

• Categorical data

Which type of data can be represented on a bar graph?

• Neither discrete nor continuous data

• Continuous data

• Discrete data

• Both discrete and continuous data

How can continuous data be graphically represented?

• Bar graph

• Histogram or line graph

• Scatter plot

• Pie chart