Course Syllabus

Department of Mathematics and Computer Science, Lincoln University



COURSE ID: MAT-342
COURSE NAME: Mathematical Statistics II
CREDITS: 3

TEXT BOOK:

      Miller,I. & Miller, M. (2004) Freund's Mathematical Statistics with Applications, 7th Edition. Pearson/Prentice Hall: NJ

INSTRUCTOR INFORMATION:

***To be provided for each section***

COURSE DESCRIPTION:

      This is the second course in a year-long sequence designed for Mathematics majors. The topics include distribution of random variables, conditional probability and stochastic independence, special distributions including the (t) and (F) distributions, moment generating techniques, limiting distributions, and the central limit theorem

PREREQUISITE:             MAT-341 (Mathematical Statistics I)


COURSE GOALS- STUDENT LEARNER OUTCOMES:

    The student should
  • Define and apply the following p.d.f.'s and understand the relationships; uniform p.d.f.; Bernoulli and Binomial p.d.f.'s; negative binomial and geometric p.d.f's; hypergeometric and Poisson p.d.f.'s.
  • Define and apply the following continuous p.d.f.'s and understand their relationships; uniform, Gamma, Exponential, Chi-Square, Beta, Normal, and Bi-Variate normal p.d.f.'s.
  • Derive the functions of randon variables by the methods of; c.d.f. technique, transformation technique, and moment-generality function (m.g.f.) techniques.
  • Study and understand the concepts of sampling distributions, such as distribution of sample means, chi-square, t and F distributions.
  • Derive the order statistics p.d.f.'s and apply them to practical problems.

TENTATIVE SCHEDULE OF WEEKLY ASSIGNMENTS:

Ch. 5 - Special Probability Distribution Functions (PDFs): Discrete (Week 1-3)
      5.1 Introduction
      5.2 Discrete Uniform PDF
      5.3 Bernoulli PDF
      5.4 Binomial PDF
      5.5 Negative Binomial and Geometric PDF
      5.6 Hypergeometric PDF
      5.7 Poisson PDF
      5.8 Multinpomial PDF
      5.9 Multivariate & Hypergeometric PDF
      Test 1

Ch. 6 - Special PDFs: Continuous
      6.1 Introduction
      6.2 Uniform PDF
      6.3 Gamma, Exponenital, and Chi-Square PDF
      6.4 Beta PDF
      6.5 Normal PDF
      6.6 Normal Approximation to Binomial PDF
      6.7 Bivariate Normal PDF
      Test 2

Ch. 7 - Functions of Randon Variables
      7.1 Introduction
      7.2 Distribution of Function Technique
      7.3 Transformation techniques; One Variable
      7.4 Transformation techniques; Several Variables
      7.5 Moment Generating Function Techniques
      Test 3

Ch. 8 - Sampling Distributions
      8.1 Introduction
      8.2 Distribution of the Mean
      8.3 Distribution of the Mean: Finite Populations
      8.4 Chi-Square PDF
      8.5 t - PDF
      8.6 F - PDF
      8.7 Order Statistics
      Test 4


COURSE ASSESSMENT- LEARNING OPPORTUNITIES*

  • Homework

            Daily homework will be given on material covered in class, reviewed the next day, and may be collected and graded on an unannounced basis. On all assignments, all work must be shown for credit.

            Students are encouraged to work cooperatively. The objective of group work is to develop individual skills while learning to work effectively as a team, to think and talk about problem solving and the underlying mathematical concepts, and to develop the ability to ask and answer questions as they arise. However, each student is responsible for all the assigned material, in other words, students can work on their together, but should not simply copy work from each other.

            Students are encouraged to make regular visits during office hours, to meet in study groups, and to use the Math Lab or the Math Tutors from the School of Natural Sciences.

  • Quizzes, Tests and Final Exam

            Short quizzes will be given on an unannounced basis. One hour in- class exams will be announced at least a week in advance. A cumulative two hour Final Exam will be given as scheduled by the Registrar. NO CALCULATORS are allowed during quizzes and exams, and all work must be shown for full credit.

  • Late Work And Make-Ups: All graded assignments, quizzes and exams must be completed when scheduled. Late assignments or make-up tests or quizzes will only be allowed with official documentation and grades may be lowered. To qualify for a make-up, a student must have notified the professor and rescheduled in a timely manner.

GRADING STANDARDS- ASSESSMENT TOOLS

        Participation 25%
        Tests 50%
        Final 25%

The grading scale guideline: **
A       92-100%
A-       88-91%
B+      85-87%
B      82-84%
B-      78-81%
C+       75-77%
C       72-74%
C-      68-71%
D+      65-67%
D      58-64%
F      0-57%

UNIVERSITY POLICY

1) Attendance:

Lincoln University uses the class method of teaching, which assumes that each student has something to contribute and something to gain by attending class. It further assumes that there is much more instruction absorbed in the classroom than can be tested on examinations. Therefore, students are expected to attend all regularly scheduled class meetings and should exhibit good faith in this regard. For the control of absences, the faculty adopted the following regulations:

  • Four absences may result in an automatic failure in the course.
  • Three tardy arrivals may be counted as one absence.
  • Absences will be counted starting with whatever day is specified by the instructor but not later than the deadline for adding or dropping courses.
  • In case of illness, death in the family, or other extenuating circumstances, the student must present documented evidence of inability to attend classes to the Vice President for Student Affairs and Enrollment Management. However, in such cases the student is responsible for all work missed during those absences.
  • Students representing the University in athletic events or other University sanctioned activities will be excused from class (es) with the responsibility of making up all work and examinations. The Registrar will issue the excused format to the faculty member in charge of the off- or on-campus activity for delivery by the student(s) to their instructors.
2) Statement on Academic Integrity:

Students are responsible for proper conduct and integrity in all of their scholastic work. They must follow a professor's instructions when completing tests, homework, and laboratory reports, and must ask for clarification if the instructions are not clear. In general, students should not give or receive aid when taking exams, or exceed the time limitations specified by the professor. In seeking the truth, in learning to think critically, and in preparing for a life of constructive service, honesty is imperative. Honesty in the classroom and in the preparation of papers is therefore expected of all students. Each student has the responsibility to submit work that is uniquely his or her own. All of this work must be done in accordance with established principles of academic integrity.

An act of academic dishonesty or plagiarism may result in failure for a project or in a course. Plagiarism involves representing another person's ideas or scholarship, including material from the Internet, as your own. Cheating or acts of academic dishonesty include (but are not limited to) fabricating data, tampering with grades, copying, and offering or receiving unauthorized assistance or information.

3) The Student Conduct Code:

Students will be held to the rules and regulations of the Student Conduct Code as described in the Lincoln University Student Handbook. In particular, excessive talking, leaving and reentering class, phones or pagers, or other means of disrupting the class will not be tolerated and students may be asked to leave. Students who constantly disrupt class may be asked to leave permanently and will receive an F.

4) The Core Curriculum Learner Competencies:

All courses offered through the Department of Mathematics and Computer Science require students to meet at least the following out of the 8 Core Curriculum Learner Competencies:

(1) Listen and effectively communicate ideas through written, spoken, and visual means;
(2) Think critically via classifying, analyzing, comparing, contrasting, hypothesizing, synthesizing, extrapolating, and evaluating ideas;

(6) Apply and evaluate quantitative reasoning through the disciplines of mathematics, computational science, laboratory science, selected social sciences and other like-minded approaches that require precision of thought;

(8) Demonstrate positive interpersonal skills by adhering to the principles of freedom, justice, equality, fairness, tolerance, open dialogue and concern for the common good.



Note:

* The instructor of a given section of the course may make some modifications to the evaluation as well as to the rest of the syllabi including but not limited to; the grade weights, number of tests, and test total points.

**The grading scale guideline includes a 2-point flexibility.

Please consult with the department chairperson for any program updates or corrections which may not be yet reflected on this page _ last updated 9/10/2007.

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