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STANDARDS

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US-MA

Math

Massachusetts Math

Model Mathematics I [MI]: Statistics and Probability - Interpreting Categorical and Quantitative Data

MI.S-ID.A

Summarize, represent, and interpret data on a single count or measurement variable. Use calculators, spreadsheets, and other technology as appropriate.

MI.S-ID.A.1

Mostly covered
Represent data with plots on the real number line (dot plots, histograms, and box plots).

MI.S-ID.A.2

Fully covered
Use 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.

MI.S-ID.A.3

Mostly covered
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

MI.S-ID.B

Summarize, represent, and interpret data on two categorical and quantitative variables.

MI.S-ID.B.5

Mostly covered
Summarize 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.

MI.S-ID.B.6

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

MI.S-ID.B.6.a

Partially covered
Fit a linear function to the data and use the fitted function to solve problems in the context of the data. Use given functions fitted to data or choose a function suggested by the context. Emphasize linear and exponential models.

MI.S-ID.B.6.b

Mostly covered
Informally assess the fit of a function by plotting and analyzing residuals.

MI.S-ID.B.6.c

Fully covered
Fit a linear function for a scatter plot that suggests a linear association.

MI.S-ID.C

Interpret linear models.

MI.S-ID.C.7

Fully covered
Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

MI.S-ID.C.8

Fully covered
Compute (using technology) and interpret the correlation coefficient of a linear fit.

MI.S-ID.C.9

Fully covered
Distinguish between correlation and causation.