Math 312 & Stat 412 at Lehigh University
Math 312 / Stat 412 (Applied Statistics): Exploratory data analysis;
Monte Carlo methods; randomization and resampling. Computational
based on software tools and statistical packages. Prerequisite: Math 12
Here is a typical course description of Applied Statistics at Lehigh
Textbook used :
1. "Statistical Methods", revised edition, by Rudolf J.
Freund and William J. Wilson.
2. "A Casebook for a First Course in Statistics and Data
Analysis" by Chatterjee, Handcock and Simonoff.
3. "Learning SAS in the Computer Lab" by R. Elliott.
4. Many others
1. Review of basic probability distributions and basic statistical
2. Some standard probabilistic results used in statistics.
3. Introduction to one-sample statistical problems.
4. Point and interval estimation.
5. Hypotheses testing and p-value.
6. t-test and t-C.I. and the concept of degrees of freedom.
7. Correlation coefficient.
8. Two tests for normality (Chi-squared test and W-S test).
9. Chi-squared test for normality when parameters are estimated.
10. Normal scores and normal probability plot.
11. Paired sample problems.
12. Signed test for the center of symmetry.
13. Wilcoxon signed-rank test for the center of symmetry.
14. Confidence interval based on Wilcoxon signed-rank statistic.
15. Walsh's pairwise averages.
16. Simple linear regression.
17. Confidence intervals for regression coefficients.
18. ANONA Table and F-test for simple linear regression.
19. Coefficient of determination and residual plot.
20. Two-sample problems.
21. T-tests and F-test for testing mu_1 = mu_2.
22. Confidence intervals for mu_2 - mu_1.
23. One-way analysis of variance and F tests.
24. Multiple camparisons, orthogonal contrasts.
Statistics Related Links
and Data Analysis
Please contact Professor Wei-Min Huang, Department of
for further information. To contact me, send e-mail to wh02@Lehigh.EDU,
or click here
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Mathematics Department home page.
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Professor, Department of Mathematics