Common Core State

HSS.MD.B7

(+) Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).

October 1, 2018
HSS.MD.A3

(+) Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value. For example, find the theoretical probability distribution for the number of correct answers obtained by guessing on all five questions of a multiple-choice test where each question has four choices, … Read More “HSS.MD.A3”

October 1, 2018
HSS.ID.B6b

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

October 1, 2018
HSS.ID.B6c

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

October 1, 2018
HSS.ID.C7

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

October 1, 2018
HSS.ID.C8

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

October 1, 2018
HSS.ID.C9

Distinguish between correlation and causation.

October 1, 2018
HSS.MD.A1

(+) Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.

October 1, 2018
HSS.MD.A2

(+) Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.

October 1, 2018
HSS.IC.B5

Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

October 1, 2018
HSS.IC.B6

Evaluate reports based on data.

October 1, 2018
HSS.ID.A1

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

October 1, 2018