Common Core State
HSS.ID.A1
Represent data with plots on the real number line (dot plots, histograms, and box plots).
October 1, 2018HSS.ID.A2
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.
October 1, 2018HSS.ID.A3
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
October 1, 2018HSS.ID.A4
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 calculators, spreadsheets, and tables to estimate areas under the normal curve.
October 1, 2018HSS.ID.B5
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.
October 1, 2018HSS.ID.B6
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
October 1, 2018HSS.ID.B6a
Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
October 1, 2018HSN.VM.B5a
Represent scalar multiplication graphically by scaling vectors and possibly reversing their direction; perform scalar multiplication component-wise, e.g., as c(vx, vy) = (cvx, cvy).
October 1, 2018HSN.VM.B5b
Compute the magnitude of a scalar multiple cv using ||cv|| = |c|v. Compute the direction of cv knowing that when |c|v ≠ 0, the direction of cv is either along v (for c > 0) or against v (for c < 0).
October 1, 2018HSN.VM.C6
(+) Use matrices to represent and manipulate data, e.g., to represent payoffs or incidence relationships in a network.
October 1, 2018HSN.VM.C7
(+) Multiply matrices by scalars to produce new matrices, e.g., as when all of the payoffs in a game are doubled.
October 1, 2018