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.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, 2018