HS.S-ID

HS.S-ID

HS.S-ID.1Represent data with plots on the real number line (dot plots, histograms, and box plots).HS.S-ID.2Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.HS.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).HS.S-ID.4Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, or tables to estimate areas under the normal curve.HS.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.HS.S-ID.6Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.HS.S-ID.7Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. Interpolate and extrapolate the linear model to predict values.HS.S-ID.8Compute (using technology) and interpret the correlation coefficient of a linear fit.HS.S-ID.9Distinguish between correlation and causation.
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