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Interpreting Categorical and Quantitative Data

Summarize, represent, and interpret data on a single count or measurement variable and on two categorical and quantitative variables: Develop understanding of statistical variability; summarize and describe distributions; use measures of center and measures of variability; draw informal comparative inferences about two populations; investigate patterns of association in bivariate data; interpret linear models; represent data with plots on the real number line (dot plots, histograms, and box plots).

Using Sampling and Probability to Make Decisions

Use random sampling and the rules of probability: Use random sampling to draw inferences about a population; investigate chance processes and develop, use, and evaluate probability models; understand and evaluate random processes underlying statistical experiments; make inferences and justify conclusions from sample surveys, experiments, and observational studies; understand independence and conditional probability and use them to interpret data; use the rules of probability to compute probabilities of compound events in a uniform probability model.

Information on this page comes from documentation provided by Northwest Education Association (NWEA)