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Data Analysis and Probability Standard
Data Analysis and Probability Standard (pre-K - 2)
describe parts of the data and the set of data as a whole to determine what the data show.
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ORC Resources
Data Analysis and Probability Standard (3 - 5)
describe the shape and important features of a set of data and compare related data sets, with an emphasis on how the data are distributed;
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ORC Resources
use measures of center, focusing on the median, and understand what each does and does not indicate about the data set;
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ORC Resources
compare different representations of the same data and evaluate how well each representation shows important aspects of the data.
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ORC Resources
Data Analysis and Probability Standard (6 - 8)
find, use, and interpret measures of center and spread, including mean and interquartile range;
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ORC Resources
discuss and understand the correspondence between data sets and their graphical representations, especially histograms, stem-and-leaf plots, box plots, and scatterplots.
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ORC Resources
Data Analysis and Probability Standard (9 - 12)
for univariate measurement data, be able to display the distribution, describe its shape, and select and calculate summary statistics;
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ORC Resources
for bivariate measurement data, be able to display a scatterplot, describe its shape, and determine regression coefficients, regression equations, and correlation coefficients using technological tools;
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ORC Resources
display and discuss bivariate data where at least one variable is categorical;
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ORC Resources
recognize how linear transformations of univariate data affect shape, center, and spread;
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ORC Resources
identify trends in bivariate data and find functions that model the data or transform the data so that they can be modeled.
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ORC Resources
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