AQR.MATH.4.J
Identify potential misuses of statistics to justify particular conclusions, including assertions of a cause-and-effect relationship rather than an association, and missteps or fallacies in logical reasoning; Page 22 October 2015 Update.
Advanced Quantitative Reasoning · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
potential misusesstatisticsjustificationconclusionsassertionscause-and-effect relationshipassociationmisstepsfallacieslogical reasoning
Skills
- identify (potential misuses of statistics) #dok2
- justify (particular conclusions using statistical evidence) #dok3
- distinguish (cause-and-effect relationships from associations) #dok2
- recognize (missteps and fallacies in logical reasoning) #dok2
- analyze (reasoning in statistical arguments) #dok3
Learning Targets
- I can identify potential misuses of statistics in reports or studies. #dok2
- I can distinguish between cause-and-effect relationships and associations in statistical claims. #dok2
- I can recognize missteps or fallacies in logical reasoning related to statistical arguments. #dok2
- I can justify whether a given statistical conclusion is supported by valid reasoning and evidence. #dok3
- I can analyze statistical arguments to detect errors in reasoning or unjustified claims. #dok3
Big Ideas
- Statistical information can be misleading if misused or interpreted incorrectly, influencing the conclusions people make.
- Understanding how to identify logical fallacies and misuse of statistics is necessary to evaluate claims critically and make informed decisions.
Essential Questions
- How can statistics be misused to justify particular conclusions?
- What is the difference between a cause-and-effect relationship and an association in statistical claims?
- What are some common logical fallacies and missteps that appear in statistical reasoning?
- How can we determine if a statistical conclusion is justified by the evidence presented?
- Why is it important to recognize the misuse of statistics in everyday information?