Understanding and evaluating random processes underlying statistical experiments. Making inferences and justifying conclusions from sample surveys, experiments and observational studies.
Mapped to CCSS Section# HSS.IC.A.1, HSS.IC.A.2, HSS.IC.B.3, HSS.IC.B.4, HSS.IC.B.5, HSS.IC.B.6
Understand statistics as a process for making inferences about population parameters based on a random sample from that population. Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a row cause you to question the model? Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. 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. Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant. Evaluate reports based on data.