Measurement, Data, Statistics, and Probability C & D This is an introductory lesson with accompanying student handouts that introduces the measures of central tendency: mean, median, and mode.
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Algebra
- Level A https://www.vaccrsframeworks.org/math/algebraic-thinking-level-a/
- Level B https://www.vaccrsframeworks.org/math/algebraic-thinking-level-b/
- Level C https://www.vaccrsframeworks.org/math/algebraic-thinking-level-c/
- Level D https://www.vaccrsframeworks.org/math/algebraic-thinking-level-d/
- Level E https://www.vaccrsframeworks.org/math/algebraic-thinking-level-e/
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Geometry
- Level A https://www.vaccrsframeworks.org/math/geometry-level-a/
- Level B https://www.vaccrsframeworks.org/math/geometry-level-b/
- Level C https://www.vaccrsframeworks.org/math/geometry-level-c/
- Level D https://www.vaccrsframeworks.org/math/geometry-level-d/
- Level E https://www.vaccrsframeworks.org/math/geometry-level-e/
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Measurement and Data
- Level A https://www.vaccrsframeworks.org/math/measurement-and-data-level-a/
- Level B https://www.vaccrsframeworks.org/math/measurement-and-data-level-b/
- Level C https://www.vaccrsframeworks.org/math/measurement-and-data-level-c/
- Level D https://www.vaccrsframeworks.org/math/measurement-and-data-level-d/
- Level E https://www.vaccrsframeworks.org/math/measurement-and-data-level-e/
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Number Sense
- Level A https://www.vaccrsframeworks.org/math/number-sense-level-a/
- Level B https://www.vaccrsframeworks.org/math/number-sense-level-b/
- Level C https://www.vaccrsframeworks.org/math/number-sense-level-c/
- Level D https://www.vaccrsframeworks.org/math/number-sense-level-d/
- Level E https://www.vaccrsframeworks.org/math/number-sense-level-e/
Measurement and Data Level D
- Mastery of Level C
- Interpreting Numerical Data
Students will be able to:- Summarize numerical data the number of observations, how it was measured, and units of measure
- Describing Distributions
Students will be able to:- Identify mean, median, range, mode, and patterns in data
- Explain variability within a data set
- Explain how choice of central measure affects the shape of data distribution
- Applying Statistics and Sampling
Students will be able to:- Demonstrate understanding of the concepts of sampling
- Draw inferences about a population based on random sampling
- Analyzing Comparative Data
Students will be able to:- Make comparisons between two populations
- Apply understanding of statistical variability to identify overlapping data in different data sets
- Understanding Probability
Students will be able to:- Demonstrate understanding of probability as the likelihood of an event occurring
- Predict the likelihood of an event occurring given information about the event
- Predict the likelihood of an event occurring at the same time as another event
- Investigate the correlation of events or data by comparing their relationships visually
- Use algebraic thinking skills to solve problems involving the comparison of bivariate data, through interpreting slope and intercept
- Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities