AI-S.ID: Statistics and Probability - Interpreting Categorical and Quantitative Data

Statistics and Probability - Interpreting Categorical and Quantitative Data

AI-S.ID.1Represent data with plots on the real number line (dot plots, histograms, and box plots).AI-S.ID.2Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (inter-quartile range, sample standard deviation) of two or more different data sets.AI-S.ID.3Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).AI-S.ID.5Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.AI-S.ID.6Represent bivariate data on a scatter plot, and describe how the variables’ values are related.AI-S.ID.7Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.AI-S.ID.8Calculate (using technology) and interpret the correlation coefficient of a linear fit.AI-S.ID.9Distinguish between correlation and causation.
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