# 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, 2018##### HSS.MD.B6

(+) Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).

October 1, 2018##### HSS.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, 2018##### HSS.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, 2018##### HSS.MD.B5

(+) Weigh the possible outcomes of a decision by assigning probabilities to payoff values and finding expected values.

October 1, 2018##### HSS.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, 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.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