After completing this course, students will be able to
1. Identify and distinguish between types of variables, and know which types of variables are required for statistical techniques
2. Explain and apply measures of central tendency, spread, and relative standing and how these different measures relate to each other in various distribution patterns
3. Apply rules of probability, and extend those principles to discrete and continuous probability distributions
4. Explain and apply the concept of sampling distributions and their role in developing confidence intervals and use in hypothesis testing, correctly utilizing the Normal, T or Chi Squared distributions
5. Calculate and interpret confidence intervals for the mean and proportion in one sample scenarios
6. Identify the correct statistical test to be used for hypothesis testing on one sample scenarios for mean, proportion, and standard deviation
7. Clearly interpret the results of statistical analysis in context of the original research question
8. Correctly and appropriately use correlation and linear regression techniques, including inference on the models

• Clemson Academic Success Center