
Causation vs. Correlation
Authored by Samantha Bryant
Mathematics
8th - 10th Grade
CCSS covered
Used 650+ times

AI Actions
Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...
About
This quiz focuses on the fundamental statistical concepts of correlation and causation, targeting students at the high school level, specifically grades 9-10. The questions assess students' ability to distinguish between relationships where variables move together (correlation) versus situations where one variable directly causes changes in another (causation). Students must demonstrate their understanding of positive correlation (variables increase together), negative correlation (one variable increases while another decreases), and scenarios with no correlation whatsoever. The core reasoning skills required include critical thinking about real-world relationships, the ability to identify confounding variables or third factors that might explain correlations, and understanding that correlation does not imply causation. Students need to analyze everyday scenarios and determine whether observed patterns represent genuine cause-and-effect relationships or simply coincidental associations. Created by Samantha Bryant, a Mathematics teacher in US who teaches grade 8 and 10. This quiz serves as an excellent formative assessment tool to gauge student comprehension before advancing to more complex statistical analysis and data interpretation. Teachers can effectively use this as a warm-up activity to activate prior knowledge, assign it as homework to reinforce classroom instruction, or implement it as a quick review before assessments on data analysis and statistics. The real-world scenarios presented make this quiz particularly valuable for helping students connect abstract statistical concepts to practical situations they encounter daily. This assessment aligns with Common Core standards 8.SP.A.1 and HSS-ID.B.6, which require students to construct and interpret scatter plots, understand correlation in bivariate data, and distinguish between correlation and causation in statistical relationships.
Content View
Student View
5 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statements shows a relationship that is correlated but not causal?
Tags
CCSS.HSS.ID.C.9
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statements shows a relationship that is correlated but not causal?
Tags
CCSS.HSS.ID.C.9
CCSS.HSS.ID.C.8
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statements shows a causal relationship and not just a correlated one?
Tags
CCSS.HSS.ID.C.9
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statements represents a negative correlation?
Tags
CCSS.HSS.ID.C.9
CCSS.HSS.ID.C.8
CCSS.HSS.ID.B.6
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which is an example of NO correlation?
Tags
CCSS.HSS.ID.C.9
Access all questions and much more by creating a free account
Create resources
Host any resource
Get auto-graded reports

Continue with Google

Continue with Email

Continue with Classlink

Continue with Clever
or continue with

Microsoft
%20(1).png)
Apple
Others
Already have an account?