| By the end of this course, the student will be able to: |
| 1. Distinguish different types of data and organize data into appropriate tables and graphical displays |
| 2. Calculate summary measures including point and interval estimators of population parameters and interpret them |
| 3. Calculate probabilities for various experiments including experiments where counting formulas are required |
| 4. Describe the process of sampling and apply a method of sampling to a real-world estimation problem |
| 5. Perform hypothesis tests to answer specific research questions and interpret the results |
| 6. Calculate and interpret measures of association between numerical variables (using methods of regression analysis) and between categorical variables (using methods of chi-square analysis) |