Maryland College and Career-Ready Standards
MD.MA.AII. Algebra II
Unit 4: Inferences and Conclusions from Data
HSS-IC.A. Understand and evaluate random processes underlying statistical experiments.
S.IC.1. Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
S.IC.1.1. Knowledge of various sampling methods (e.g., simple random, convenience, stratified…).
S.IC.1.2. Ability to select an appropriate sampling technique for a given situation.
S.IC.1.3. Ability to explain in context the difference between values describing a population and a sample.
S.IC.2. 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?
S.IC.2.1. Ability to calculate and analyze theoretical and experimental probabilities accurately.
S.IC.2.2. Knowledge of various types of sampling procedures and ability to select and carry out the appropriate process for a given situation.
HSS-IC.B. Make inferences and justify conclusions from sample surveys, experiments, and observational studies.
S.IC.3. Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
S.IC.3.1. Ability to conduct sample surveys, experiments and observational studies.
S.IC.5. Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.
S.IC.5.1. Ability to set up and conduct a randomized experiment or investigation, collect data and interpret the results.