NY Next Generation Math NY-6.SP.5.c
The Standard
Calculate range and measures of center, as well as describe any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
New York State Next Generation Mathematics Learning Standards
Teacher's field guide
What This Standard Means
What Students Need to Do
- Students calculate range and measures of center, then describe overall patterns and striking deviations in context. They discuss the role of outliers without using an outlier formula.
What Mastery Looks Like
- The student finds mean, median, mode, and range accurately and identifies clusters, gaps, or an unusual value. The explanation connects each feature to the measured situation.
Common Misconceptions
- Students may remove an unusual value automatically or apply an unsupported outlier rule. They may report statistics without interpreting what they mean in context.
How to Assess It
- Give a small contextual data set with one unusually high value. Ask students to calculate center and range, describe the pattern, and discuss that value’s effect.
Lesson moves
Ways to Teach It
Arrange data on a dot plot, calculate centers and range, and mark clusters, gaps, and unusual values.
Ask students how one unusually large value changes the mean and range.
Play Data Feature Hunt with contextual plots and summary-statistic cards.
Analyze daily step counts and explain any unusually high or low day.
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Related Standards
- NY-6.SP.3
Recognize that a measure of center for a quantitative data set summarizes all of its values with a single number while a measure of variation describes how its ...
- NY-7.SP.4
Use measures of center and measures of variability for quantitative data from random samples or populations to draw informal comparative inferences about the po...
- NY-6.SP.5.d
Relate the range and the choice of measures of center to the shape of the data distribution and the context in which the data were gathered.
- NY-6.SP.2
Understand that a set of quantitative data collected to answer a statistical question has a distribution which can be described by its center, spread, and overa...
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