LAC 28:CXLII.3903. Interpreting Categorical and Quantitative Data

A. Summarize, represent, and interpret data on a single count or measurement variable. 1. Represent and interpret data with plots on the real number line. 2. Use statics appropriate to the shape of the data distribution to compare center and spread of two or more different data sets. 3. Interpret differences in shape, center, and spread in t the context of the data sets, accounting for possible effects of extreme data points. 4. Use 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 technology when appropriate. B. Summarize, represent, and interpret data on two categorical and quantitative variables. 1. Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data. Recognize possible associations and trends in the data. 2. Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. a. Fit a function to the data using technology; Use functions fitted to data to solve problems in the context. Use given functions or choose a function suggested by the context. b. Informally assess the fit of a function by plotting and analyzing residuals. c. Fit a linear function for a scatter plot that suggests a linear association. C. Interpret linear models. 1. Interpret the slope and the intercept of a linear model in the context of the data. 2. Compute and interpret the correlation coefficient of a linear fit. 3. Distinguish between correlation and causation.