A.DSR.10

Collect, analyze, and interpret univariate quantitative data to answer statistical investigative questions that compare groups to solve real-life problems; Represent bivariate data on a scatter plot and fit a function to the data to answer statistical questions and solve real-life problems.

A.DSR.10.1Use statistics appropriate to the shape of the data distribution to compare and represent center (median and mean) and variability (interquartile range, standard deviation) of two or more distributions by hand and using technology.A.DSR.10.2Interpret differences in shape, center, and variability of the distributions based on the investigation, accounting for possible effects of extreme data points (outliers).A.DSR.10.3Represent data on two quantitative variables on a scatter plot and describe how the variables are related.A.DSR.10.4Interpret the slope (predicted rate of change) and the intercept (constant term) of a linear model based on the investigation of the data.A.DSR.10.5Calculate the line of best fit and interpret the correlation coefficient, r, of a linear fit using technology. Use r to describe the strength of the goodness of fit of the regression. Use the linear function to make predictions and assess how reasonable the prediction is in context.A.DSR.10.6Decide which type of function is most appropriate by observing graphed data.A.DSR.10.7Distinguish between correlation and causation.
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