- High School
- Number & Quantity
- Statistics & Probability
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Develop Understanding Of Statistical Variability.
6.SP.1Recognize a statistical question as ...more
Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.
6.SP.2Understand that a set of data collec...more
Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
6.SP.3Recognize that a measure of center f...more
Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
Summarize And Describe Distributions.
6.SP.4Display numerical data in plots on a...more
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
6.SP.5Summarize numerical data sets in rel...more
Summarize numerical data sets in relation to their context, such as by:
6.SP.5.aReporting the number of observations...more
Reporting the number of observations.
6.SP.5.bDescribing the nature of the attribu...more
Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
6.SP.5.cGiving quantitative measures of cent...more
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
6.SP.5.dRelating the choice of measures of c...more
Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
Major cluster will be a majority of the assessment, Supporting clusters will be assessed through their success at supporting the Major Clusters and Additional Clusters will be assessed as well. The assessments will strongly focus where the standards strongly focus.
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