High School: Statistics & Probability
HSS.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, 2018HSS.ID.A1
Represent data with plots on the real number line (dot plots, histograms, and box plots).
October 1, 2018HSS.ID.A2
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
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