MT427                                                  Statistics                                            Spring 2008


Professor Nancy Rallis

Carney 321, extension 2-3764


Office Hours: MWF 11:00 - 12:00, and by appointment


Textbook:  An Introduction to Mathematical Statistics by Richard Larsen and Morris

                  Marx (fourth edition)


Mt427 is a continuation of MT426.  The emphasis of the course is statistics. Multivariable Calculus is a prerequisite for the course, as well as a calculus-based probability course like MT426.  The topics covered in MT427 are the following:


Chapter 4  Special Distributions - Normal and Gamma Distributions


Chapter 5  Estimation - Maximum Likelihood Method, Interval Estimation, Properties of Estimators, Minimum Variance Estimators, Cramer-Rao Lower Bound, Sufficiency and Consistency


Chapter 6   Hypothesis Testing -  Decision Rule, Type I and Type II Errrors, Generalized Likelihood Ratio.


Chapter 7  Normal Distribution - Point Estimators, The Chi-Squared Distribution, The F and t Distributions


Chapter 8  Types of Data - Classifying Data


Chapter 9 Two Sample Problems - Testing two sample means and variances, Binomial Data and Confidence Intervals for Two Samples


Chapter 10  Goodness of Fit Tests - The Multinomial Distribution, Goodness-of-Fit Tests, Contingency Tables.



Exams, Homework and Grading:


Your semester grade will be based on homework (20%), semester exams (25% each) and the final exam (30%).


The examination schedule is


Exam 1 is Wednesday, February 28


Exam 2 is Friday, April 18



If you have a serious reason for missing an in-class exam, then you must let me know prior to the examination time.  If you have a serious reason for missing the final exam, then you must inform the Dean's office prior to the final exam time.  The Dean's office will then let me know that you will miss the exam.



Homework will generally be assigned daily.  The problems assigned will be a mixture of routine, straightforward problems that test basic understanding of the material as well as more challenging problems.  You are encouraged to talk to each other about the homework, but you must write up your own paper to pass in.  Late homework will generally not be accepted.  You must staple multiple sheets together (ripped folded and torn sheets will not be accepted)