ENGR 5336 - Statistical Decision Making for Engineers

Catalog Information: 1998-2000	ENGR 5336: Statistical Decision Making for Engineers. Credit 3. Analysis of data to help the engineer/executive make decisions. Evaluation of performance claims. Prerequisites MTH 3370 or INEN 4320, junior standing in engineering.
Textbook:	Blank, Leland, Statistical Procedures for Engineering Management and Science, McGraw-Hill, 1980.
References:	Devore, Probability & Statistics for Engineering and the Sciences, Brooks/Cole Publishing Company, 1987.
	Hines & Hoel, Elementary Statistics, John Wiley & Sons, 1976.
	Lopin, Probability and Statistics for Modern Engineering, PWS-KENT, 1990.
	Scheaffer, Probability and Statistics for Engineers, Duxbury Press, 1986.
Coordinator:	Dr. Hsing-wei Chu, Associate Professor in the Department of Industrial Engineering
Goals:	To teach the principles of estimation and hypothesis testing. The implications of Error Types I and II; the use of OC Curves in planning experiments.

Prerequisites by Topic:

1. College Algebra

2. Calculus.

3. Mathematical Probability.

4. The Principal of Discrete and Continuous Distributions.

5. Manipulation of Sample Data.

6. Distributions of Sample Parameters.

Topics:

1. Probability Density Functions (1/2 week).

2. The distributions of sample statistics for large and small samples. (1 week)

3. Point and Interval Estimation of Means. (1 week)

4. The Theory of Hypothesis Testing, Error Types and O-C Curves. (1 week)

5. Hypothesis Tests (large and small samples) on one and two means. (1 week)

6. Point and Interval Estimates of Variances. (1/2 week)

7. Hypothesis Tests on one and two Variances. (1 week)

8. Point and Interval Estimates of Proportions. (1/2 week)

9. Hypothesis Tests on one and several Proportions; contingency tables. (1/2 week)

10. Chi-square and Komlgorov-Smirnoff Goodness-of-Fit tests. Use of Probability Paper. (1 week)

11. Nonparametric Tests. (1 week)

12. Statistical Inferences Using Baysian Estimates. (1 week)

13. Least-Squares Regression. (1 week)

14. Correlation Analysis. (1/2 week)

15. Analysis of Variance. (1 week)

16. Design of best tests to be used in hypothesis testing procedures. (1 week)

17. Tests. (1 1/2 weeks)

Computer Usage: Use library programs to implement

(1) hypotheses testing,

1. regression analysis, and
2. (3) analysis of variance.

Prepared by: Dr. Hsing-wei Chu

Last Update 10/21/02