Common Core: MATH.CONTENT
HSS.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, 2018HSS.ID.B6a
Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
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, 2018HSN.VM.C10
(+) Understand that the zero and identity matrices play a role in matrix addition and multiplication similar to the role of 0 and 1 in the real numbers. The determinant of a square matrix is nonzero if and only if the matrix has a multiplicative inverse.
October 1, 2018HSN.VM.C11
(+) Multiply a vector (regarded as a matrix with one column) by a matrix of suitable dimensions to produce another vector. Work with matrices as transformations of vectors.
October 1, 2018HSS.CP.A1
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”).
October 1, 2018HSS.CP.A2
Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent.
October 1, 2018HSS.CP.A3
Understand the conditional probability of A given B as P(A and B)/P(B), and interpret independence of A and B as saying that the conditional probability of A given B is the same as the probability of A, and the conditional probability of B given A is the same as the probability of B.
October 1, 2018