1. Term Paper Topics Quantitative Methods for Business MAT540 @ Strayer University by Tristan Hübsch Quantitative Methods for Business MAT540 @ Strayer University by Tristan Hübsch

2. 1 General  Goal  To demonstrate the use of a concept or formula from class  To apply it to a “real life” situation  Format  Title page  4–6 pages (1.5-spaced, 12pt font)  Plus literature and any tables/graphs that are larger than 1/2 page.  Goal  To demonstrate the use of a concept or formula from class  To apply it to a “real life” situation  Format  Title page  4–6 pages (1.5-spaced, 12pt font)  Plus literature and any tables/graphs that are larger than 1/2 page.

3. 2 General (cont’d)  Organization  Introduction: motivate the problem  Main part  Present some data  Calculate some characteristics  Conclusions  Last but not least:  Try to communicate your understanding of the topic you have chosen to show off  No collaboration between students on the final product, but you may seek feedback and opinions while preparing to write the paper.  Give proper credit (Books, journals, the internet…)  Organization  Introduction: motivate the problem  Main part  Present some data  Calculate some characteristics  Conclusions  Last but not least:  Try to communicate your understanding of the topic you have chosen to show off  No collaboration between students on the final product, but you may seek feedback and opinions while preparing to write the paper.  Give proper credit (Books, journals, the internet…)

4. 3 Probability & Statistics  Probability in games of chance  Bayesian analysis & dependent events  Binomial distribution  Normal probability distribution  Sample mean, expected value & standard deviation, as a coarse description of the probability distribution  Probability in games of chance  Bayesian analysis & dependent events  Binomial distribution  Normal probability distribution  Sample mean, expected value & standard deviation, as a coarse description of the probability distribution

5. 4 Decisions and Forecasting  Decision-making without probability  Decision-making with probability  Decision analysis with additional information  Decision-making using simulation  Methods of smoothing time-series  Trend analysis with and without seasonal adjustment  Decision-making without probability  Decision-making with probability  Decision analysis with additional information  Decision-making using simulation  Methods of smoothing time-series  Trend analysis with and without seasonal adjustment

6. 5 Linear Programming & More  A simple optimization problem (with at least three independent and nontrivial inequalities)  Computer solutions and sensitivity  Integer programming  0-1 (Boolean) programming  Transportation, transshipment and assignment  A simple optimization problem (with at least three independent and nontrivial inequalities)  Computer solutions and sensitivity  Integer programming  0-1 (Boolean) programming  Transportation, transshipment and assignment