COMPREHENSIVE EXAMINATION

SYLLABUS

Parts -IA, IB

 

 

 

Students may review the textbooks that were used in the Probability and Mathematical Statistics sequence (MAT-451, 452 & 453).

 

The exams are given in two parts and must be taken on the same day, on a Saturday 9:00 A.M. - 4:00 P.M., in October and/or April/May.

 

Students who intend to take the exams in a given quarter should notify the program director, in writing, early in the quarter.

 

 

Part-IA:

 

This is a three-hour closed-book exam.  It covers analytical and theoretical concepts of probability and statistical inference [items 1-5, and major theorems in items 6 and 7 of the following list of topics]. Normally, this exam is given between 9:00 A.M.-12:00 noon.

 

 

Part-IB:

 

This is a three-hour open-book exam.  It covers topics of statistical inference described in items 6-11 of the following list of topics.  Notes, books, tables, and calculators may be used.  This exam is given between 1:00-4:00 P.M. the same day as part I-A.

 

 

List of Major Topics

 

1.                  Elements of probability.

2.                  Probability distributions: their moments, moment-generating functions, functions of random variables, and transformation of variables.

3.                  Discrete Probability models: Bernoulli, Binomial, Poisson, Geometric, negative binomial, hyper-geometric, multinomial distributions.

4.                  Continuous Probability Models: Uniform, exponential, Gamma, c2, Beta, Normal, Student-t, and Fisher’s F-distributions.

5.                  Sampling distributions of means, variances, proportions.  Laws of large numbers, the Central Limit Theorem.

6.                  Estimation:  Properties, methods, point and interval estimation.

7.                  Hypothesis testing: Neyman-Pearson lemma, most powerful tests, simple and composite hypothesis tests of means, variances and proportions.

8.                  The Analysis of Variance (one-way ANOVA).

9.                  Linear Regression and the least-squares method.

10.              Nonparametric methods of inference (Wilcoxon-Mann-Whitney, Sign, Kruskell-Wallis, Friedman, Runs tests, and Spearman’s Correlation.)

11.              c2 -tests of Goodness of Fit, Independence and Homogeneity.