6.MATH.12.D
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 · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
categorical datanumerical summariesgraphical summariesmodepercentrelative frequency tablepercent bar graphdata distribution
Skills
- summarize (categorical data using numerical summaries such as mode) #dok2
- summarize (categorical data using graphical summaries such as percent bar graphs and relative frequency tables) #dok2
- describe (data distribution using summaries) #dok2
- use (numerical and graphical summaries to interpret categorical data) #dok3
Learning Targets
- I can identify and find the mode in a set of categorical data. #dok1
- I can construct a relative frequency table to show the percent in each category. #dok2
- I can create a percent bar graph to visually summarize categorical data. #dok2
- I can describe a categorical data distribution using the mode and percent in each category. #dok2
- I can use numerical and graphical summaries to interpret and explain findings in categorical data. #dok3
Big Ideas
- Numerical and graphical summaries help us understand and describe categorical data distributions.
- Different types of summaries (such as mode, percent, frequency tables, or bar graphs) provide various insights into the data.
Essential Questions
- How can we use summaries like the mode and percent bar graphs to describe categorical data?
- Why is it important to represent data both numerically and graphically?
- What does a relative frequency table reveal about categorical data?
- How does summarizing data help us make sense of information?
- In what situations might one type of summary be more useful than another?