6adv.MATH.14.F
Summarize categorical data with numerical and graphical summaries, including the mode, the percent of values in each category (relative frequency table), and the percent bar graph, and use these summaries to describe the data distribution.
Grade 6 (Advanced) · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
categorical datanumerical summariesgraphical summariesmodepercent of values in each categoryrelative frequency tablepercent bar graphdata distribution
Skills
- summarize (categorical data with numerical summaries) #dok2
- summarize (categorical data with graphical summaries) #dok2
- interpret (relative frequency tables and percent bar graphs) #dok2
- describe (data distribution using summaries) #dok3
Learning Targets
- I can summarize categorical data using numerical measures, including mode and percent of values in each category. #dok2
- I can create and interpret relative frequency tables and percent bar graphs to represent categorical data. #dok2
- I can use numerical and graphical summaries to describe the distribution of categorical data. #dok3
Big Ideas
- Numerical and graphical summaries help us effectively describe and understand categorical data.
- Summarizing and interpreting categorical data supports informed decision-making in real-world situations.
Essential Questions
- How can numerical measures like mode and percent help us describe categorical data?
- What information can we gather from relative frequency tables and percent bar graphs?
- Why is it important to summarize and visualize categorical data in more than one way?
- How do our summaries of categorical data influence the conclusions we draw?