DATA MANAGEMENT & DESCRIPTIVE ANALYTICS (4 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – explain the key data collection methods; LO2 – describe a line chart, and interpret the trend in the data; LO3 – construct values of the random variable associated with specified probabilities from a normal distribution; LO4 – build the required sample size for estimating a single population mean.

Topics:

1. The Where, Why, and How of Data Collection;
2. Graphs, Charts, and Tables—Describing Your Data;
3. Describing Data Using Numerical Measures;
4. Special Review Section 1-3;
5. Introduction to Probability;
6. Discrete Probability Distributions;
7. Special Review Section 4-5;
8. Introduction to Continuous Probability Distributions;
9. Introduction to Sampling Distributions;
10. Special Review Section 6-7;
11. Estimating Single Population Parameters;
12. Introduction to Hypothesis Testing;
13. Special Review Section 8-9.