Statistics and Probability: Interpreting Categorical and Quantitative Data

MI.Math.Content.HSS-ID.B.6c

Fit a linear function for a scatter plot that suggests a linear association.*

MI.Math.Content.HSS-ID.B.6ccsignaladmin2020-12-11T18:41:36+00:00

Interpret the slope (rate of change) and the intercept (constant term) of a linear model [...]

MI.Math.Content.HSS-ID.C.7csignaladmin2020-12-11T18:41:36+00:00

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

MI.Math.Content.HSS-ID.C.8csignaladmin2020-12-11T18:41:36+00:00

Distinguish between correlation and causation.*

MI.Math.Content.HSS-ID.C.9csignaladmin2020-12-11T18:41:36+00:00

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

MI.Math.Content.HSS-ID.A.1csignaladmin2020-12-11T18:41:33+00:00

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) [...]

MI.Math.Content.HSS-ID.A.2csignaladmin2020-12-11T18:41:33+00:00

Interpret differences in shape, center, and spread in the context of the data sets, accounting [...]

MI.Math.Content.HSS-ID.A.3csignaladmin2020-12-11T18:41:33+00:00

Use the mean and standard deviation of a data set to fit it to a [...]

MI.Math.Content.HSS-ID.A.4csignaladmin2020-12-11T18:41:33+00:00

Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the [...]

MI.Math.Content.HSS-ID.B.5csignaladmin2020-12-11T18:41:33+00:00

Represent data on two quantitative variables on a scatter plot, and describe how the variables [...]

MI.Math.Content.HSS-ID.B.6csignaladmin2020-12-11T18:41:33+00:00