S-IC. Making Inferences and Justifying Conclusions

S-IC.A. Understand and evaluate random processes underlying statistical experiments

S-IC.A.1. Understand statistics as a process for making inferences about population parameters based on a random sample from that population.

• Musical Preferences
• School Advisory Panel
• Strict Parents
• Why Randomize?

S-IC.A.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?

• Block Scheduling
• Guess The Probability
• Last Person Standing
• Sarah, the chimpanzee

S-IC.B. Make inferences and justify conclusions from sample surveys, experiments, and observational studies

S-IC.B.3. Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

• High blood pressure
• Strict Parents
• Types of Statistical Studies
• Words and Music II

S-IC.B.4. 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.

• Fred's Flare Formula
• Margin of Error for Estimating a Population Mean
• Scratch 'n Win Blues
• The Marble Jar

S-IC.B.5. Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

• No tasks yet illustrate this standard.

S-IC.B.6. Evaluate reports based on data.

• No tasks yet illustrate this standard.