Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
Data Analysis, Statistics, and Probability
Statistics can be used to gain information about populations by examining samples
Draw informal comparative inferences about two populations.
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Give 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.
Relate the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
Demonstrate 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.
Explain 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.
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.
Use measures of center and measures of variability (i.e. inter-quartile range) for numerical data from random samples to draw informal comparative inferences about two populations.
Find, use, and interpret measures of center (mean and median) and measures of spread (range, interquartile range, and mean absolute deviation) for numerical data from random samples to draw comparative inferences about two populations.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.
