In this unit, students will:
- Describe and compare distributions by using the correct measure of center and spread, and identifying outliers (extreme data points) and their effect on the data set.
- Use the mean and standard deviation of the data set to fit it to a normal distribution where appropriate.
- Estimate and interpret areas under a normal curve using calculators, spreadsheets or tables.
- Design simulations of random sampling: assign digits in appropriate proportions for events, carry out the simulation using random number generators and random number tables and explain the outcomes in context of the population and the known proportions.
- Design and evaluate sample surveys, experiments and observational studies with randomization and discuss the importance of randomization in these processes.
- Conduct simulations of random sampling to gather sample means and proportions. Explain what the results mean about variability in a population and use results to calculate margins of error.
- Generate data simulating application of two treatments and use the results to evaluate significance of differences.
- Read and explain in context data from outside report.