High School: Statistics & Probability
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, 2018HSS.MD.B6
(+) Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).
October 1, 2018HSS.MD.B5b
Evaluate and compare strategies on the basis of expected values. For example, compare a high-deductible versus a low-deductible automobile insurance policy using various, but reasonable, chances of having a minor or a major accident.
October 1, 2018HSS.MD.B5a
Find the expected payoff for a game of chance. For example, find the expected winnings from a state lottery ticket or a game at a fast-food restaurant.
October 1, 2018HSS.MD.B5
(+) Weigh the possible outcomes of a decision by assigning probabilities to payoff values and finding expected values.
October 1, 2018HSS.MD.A4
(+) Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value. For example, find a current data distribution on the number of TV sets per household in the United States, and calculate the expected number of sets per household. How many TV … Read More “HSS.MD.A4”
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.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, 2018