COURSE SYLLABUS

 

Ohio Northern University

College of Arts and Sciences

Department of Mathematics

 

 

                                                                                                         Date:  Fall 2005

 

Course:  STAT 146               Name:  Business Statistics

 

Credit hours:  4                     Lecture hours/week:  4

 

Instructor:  Staff

 

Usual student level:  Sophomore

 

Course required of students in:  Business

 

Course frequency per year:  Fall quarter, yearly

 

Average enrollment per year:  70-80

 

This course has a prerequisite of:  Math 145 (Recommended, not required.)

 

This course is a prerequisite for:    none

 

 

Catalog Description:

 

Basic statistical techniques with emphasis on their applications in the field of business.

 

Course Objectives:

 

To introduce the student to basic statistical concepts in the context of examples from the field of business.

 

Textbook:  Statistics for Management and Economics, 7th Edition, by Keller, Thompson Brooks/Cole, 2005

 

Outline of content follows:  (see attached)

 

 

Course Outline

STAT 146

Title: Business Statistics

 

Topics:

 

Ch 1 - Introduction to Statistics                                                                  (1 class)         

 

Ch 2 - Graphical Descriptive Techniques                                                (5 classes)

 

Ch 3 - Art and Science of Graphical Presentation                                   (brief)

 

Ch 4 - Numerical Descriptive Measures                                                  (4 classes)

            (Omit 4.6 and 4.7)

 

Ch 5 - Data Collection and Sampling                                                        (1 class)

 

Ch 6 - Probability                                                                                         (3 classes)

 

Ch 7 - Discrete Probability Distributions                                                             (4 classes)

            (Omit  7.2 and 7.3)

 

Ch 8 - Continuous Probability Distributions                                          (3 classes)

            (Omit 8.3. Cover t-distribution later when needed)

 

Ch 9 - Sampling Distributions                                                                   (2 classes)

            (Omit 9.3 and 9.4)

 

Ch 10 - Introduction to Estimation                                                            (3 classes)

           

Ch 11 - Introduction to Hypothesis Testing                                            (3 classes)

 

Ch 12 – Inferences About a Population                                                    (2 classes)

           (Sec 12.1 and 12.3 only)

 

Ch 13 – Inference About Comparing Two Populations                         (1 class)

           (Sec 13.5 only – Difference Between Two Population Proportions)

 

Testing and Review                                                                                     (7 classes)

 

Total                                                                                                             (39 classes)