Statistics and Probability

6.SP.1Recognize and generate 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.2Analyze a set of data collected to answer a statistical question with a distribution which can be described by its center (mean, median and/or mode), spread (range and/or interquartile range), and overall shape (cluster, peak, gap, symmetry, skew (data) and/or outlier).6.SP.3Recognize that a measure of center (mean, median and/or mode) for a numerical data set summarizes all of its values with a single number, while a measure of variation (range and/or interquartile range) describes how its values vary with a single number.6.SP.4Display numerical data on dot plots, histograms, stem-and-leaf plots, and box plots.6.SP.5Summarize numerical data sets in relation to their context, such as by:6.SP.5aReporting the number of observations.6.SP.5bDescribing the nature of the attribute under investigation, including how it was measured and its units of measurement.6.SP.5cGiving quantitative measures of center (mean, median and/or mode) and variability (range and/or interquartile range), 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.5dRelating the choice of measures of center and variability to the distribution of the data.
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