Common Core: MATH.CONTENT
HSS.ID.B6b
Informally assess the fit of a function by plotting and analyzing residuals.
October 1, 2018HSS.ID.B6c
Fit a linear function for a scatter plot that suggests a linear association.
October 1, 2018HSS.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, 2018HSS.ID.C8
Compute (using technology) and interpret the correlation coefficient of a linear fit.
October 1, 2018HSS.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, 2018HSS.MD.A2
(+) Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.
October 1, 2018HSS.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, 2018HSS.IC.B3
Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
October 1, 2018HSS.IC.B4
Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
October 1, 2018HSS.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