Statistical vs. a non-statistical question

What do the questions in your "statistical questions column" have in common?

What do the questions in your "non-statistical questions column" have in common?

What is the difference between the two types of questions?

A statistical question anticipates varied answers (variability). Example: What are the favorite colors of students in the school?

A non-statistical question has a single, definite answer. Example: How many days are in the month of March?

The answers to a statistical question are called data. Data is information such as facts and numbers that can be used to analyze something or make decisions.

There are two kinds of data:

Discrete data is data you can count. It only has specific, separate values, like whole numbers. For example, the number of students in a class or how many pets someone has. You can’t have 2.5 students or 3.7 pets!

Continuous data is data that can take any value within a range. It’s like measuring something that can be in between numbers, like how tall someone is or the temperature outside. You can have 5.3 feet or 72.8 degrees.

Examples of both kinds of data:

In your notebook, create two statistical questions.

The answers to one of the questions will result in discrete data (whole numbers).

The answers to the other question will result in continuous data (parts of a whole).