 DEPARTMENT OF MATHEMATICS

COURSE OUTLINE

 GENERAL INFORMATION:   PROGRAM:            BUSINESS ADMINISTRATION   COURSE:                 STATISTICAL METHODS (B.A.)   COURSE NO.:         201-337-77/02                                  DAY(S) & TIME:    Tuesday and Thursday - 10:00 - 11:30; Friday - 8:30 - 10:30   CLASSROOM #:    H-230   PONDERATION:   3-2-3   CREDITS:               2b                                                      COMPETENCY:     Not yet defined   PRE-REQUISITE:  Math 536   SEMESTER:           Fall 2002                                                           INSTRUCTOR:       Chris Balbahadur   OFFICE:                   H-228   TEL. NO.:                457-6610; Ext. 5835   OFFICE HOURS:    Tuesday & Thursday - 1:00 - 2:30 Friday 12:30 - 2:30 Wednesday by appointment

1.         INTRODUCTION

This course is designed for students in Business Administration, covering probability and statistics.  Students will be introduced to techniques involved in the collection, organization, analysis and interpretation of data.  Application in management and economics will be emphasized.

2.         OBJECTIVES

Statement of Competency

To  identify the contribution of knowledge related to business (and the social sciences) to the understanding of the human phenomena and to apply statistical techniques to study statistical models in business.

Elements of the competency

1.      To place the development of statistics in a historical context

2.      To recognize and describe the four basic techniques of statistics

3.      To present the natural transition from descriptive statistics to inferential statistics

4.      To use inferential statistics to make business decisions.

3.         COURSE CONTENT

What is Statistics

1.      Introduction

2.      Key Statistical concepts

3.      Types of data

4.      Graphical techniques

5.      Summation notation

Numerical descriptive techniques

1.      Measures of central tendency

2.      Measures of dispersion

3.      Measures of relative standing

4.      Measures of linear relationship

Probability

1.      Introduction

2.      Basic rules of probability

3.      Bayes'Theorem

Random variables and discrete probability distributions

1.      Discrete random variable

2.      Mean, variance and std. deviation of a discrete random variable

3.      Application in finance

4.      The binomial distribution

5.      The Poisson distribution

Continuous Probability Distributions

1.      Probability density functions

2.      Normal distribution

3.      Normal approximation to the binomial and Poisson distributions

4.      Exponential distribution (optional)

Sampling and Sampling Distributions

1.      Sampling distribution of the mean

2.      Sampling distribution of a proportion

3.      Sampling distribution of the difference of two means

Estimation

1.      Estimation of the population mean

2.      Estimation of the population proportion

3.      Estimation of the pop. variance/std. deviation

4.      Estimation of the difference of two pop. means

5.      Estimation of the difference of two pop. proportions

6.      Estimation of the quotient of two pop. variances

Hypothesis Testing

1.      Test about a pop. mean

2.      Test about a pop. proportion

3.      Test about a pop. variance/std. deviation

4.      Test about the equality of two pop. means

5.      Test about the quality of two pop. proportions

6.      Test about the equality of two pop. variances.

4.         REQUIRED TEXT:

STATISTICS FOR MANAGEMENT AND ECONOMICS (Abbreviated 4th ed.)

by Keller and Warrack

5.         METHODOLOGY

Classes are a mixture of lecture, discussion and problem solving.  All classes are an integral part of the course.  Three hours a week of homework is normal.  Generally each class introduces a new topic followed by worked examples.

Ask for help if you encounter difficulties in this course.  Review your notes regularly.  Do the labs as soon as possible, as the material is fresh in your mind.  This also gives you a chance to get help before real problems develop.

Math Website:  http:  www2.johnabbott.qc.ca/webpages/departments/math/

Math Lab:   The Math Lab is located in H-203 and is open from 11:800 to 4:00 for borrowing course material or using the computers and printers for math assignments.

The Math Help Center:  There is usually a teacher or a senior student available for individual help.  The center is located in H-203 from 9:00 to 11:00 and in H-222 after 11:00.

Learning Center:  The Learning Center is located in H-117A and offers student skills classes and individual tutoring.

6.         DEPARTMENTAL ATTENDANCE POLICY

Regular attendance is expected.  Missing six or more classes is grounds for automatic failure in this course.  Many of the failures in math is due to students missing classes.

7.         COURSE COSTS

In addition to the text listed above, a calculator with statistical functions (preferably two variable) is required.

8.         EVALUATION

Labs (assignments - best 10 @ 2%)                   20%

Class Tests (3 tests @ 10%)                              30%

Final Exam                                                           50%

9.         COLLEGE POLICY ON CHEATING AND PLAGIARISM:

Cheating and plagiarism are unacceptable to John Abbott College.  Students must know that if you are caught cheating you should expect to be penalized according to College Policy described in the Institutional Policy on the Evaluation of Student Achievement (IPESA).               C:\MATH\course.out\337C.F02.wpd