Statistical Methods in Business 33:623:385:03

 

Andrzej Ruszczynski

Time and Place

TF 10:20—11:40 Beck 252

Office Hours

Wednesday 2:00—4:00 PM in 251 J.H. Levin Building, 94 Rockafeller Road, Livingston Campus; tel.: (732) 445 3422; E-mail: rusz@business.rutgers.edu

Course Materials

The required textbook is:  J.T. McClave, P.G. Benson and T. Sinchich: Statistics for Business and Economics, 10th Ed., Prentice Hall, NJ, 2008. The 9th edition of this book is acceptable as well.
Homework assignments and other information can be obtained from the course Blackboard page.

Graded Work

Homework will be assigned in most weeks as a means to help you understand the concepts and to give you practice in applying them. It will be due in on specified days, and it will be graded and returned to the student. Late homework will not be accepted. There will also be two 80 min. midterm in-class examinations and a three-hour final examination. Student's course grade will be based on the final course average, in computing which the graded work will be weighted as follows:

 

Homework

20%

Midterm 1

20%

Midterm 2

20%

Final exam

40%

 

Computer Lab

If you have not yet been introduced to the School of Business Microcomputer Facility (in the Levin building basement) it is your responsibility to take the required introductory seminar and obtain an account, which is necessary for all students using the lab. You may use your own computer if it has Excel installed. In that case, however, all compatibility problems are your own responsibility.


 Plan of Lectures

 

Time

Topic

Reading

1

Sep 1

Review: Sample Space. Random Events

Chapter 3

2

Sep 4

Review: Random Variables

Chapter 4

3

Sep 11

Review: Sampling. Central Limit Theorem

Chapter 4, Sections 4.9--4.11

4

Sep 15

Review: Estimating Population Mean. Confidence intervals

Chapter 5, Sections 5.1—5.3

5

Sep 18

Review: Estimating Population Proportion

Chapter 5, Sections 5.4—5.6

6

Sep 22

Review: Testing Hypotheses on Means and Proportions

Chapter 6, Sections 6.1—6.6

7

Sep 25

Simple Linear Regression

Chapter 10: Sections 10.1—10.4

8

Sep 29

Confidence Intervals and Hypotheses for the Regression Coefficients

Chapter 10: Section 10.5

9

Oct 2

Usefulness of the Model

Chapter 10: Sections 10.6—10.9

10

Oct 6

Multiple Linear Regression. Building the Model

Chapter 11: Sections 11.1—11.2

11

Oct 9

Review

 

12

Oct 13

Midterm 1

 

13

Oct 16

Multiple Linear Regression. Testing Coefficients and Model Utility. Qualitative (Dummy) Variables

Chapter 11: Sections 11.3—11.4,

 11.7—11.8

14

Oct 20

Multiple Linear Regression. Nonlinear Models

Chapter 11: Sections 11.5—11.6

15

Oct 23

Multiple Linear Regression. Nested Models. Error Analysis

Chapter 11: Sections 11.9—11.11

16

Oct 27

Comparing Two Population Means and Proportions

Chapter 7: Sections 7.1—7.5

17

Oct 30

Small Sample Tests for Two Population Means

Chapter 7: Sections 7.1—7.5

18

Nov 3

Comparing Two Population Variances

 Chapter 7: Sections 7.5--7.6

19

Nov 6

Nonparametric Tests for Two Populations

Chapter 14: Sections 14.1—14.4

20

Nov 10

One-Way Analysis of Variance

Chapter 8: Sections 8.1—8.3

21

Nov 13

Review

22

Nov 17

Midterm 2

 

23

Nov 20

Two-Way Analysis of Variance

Chapter 8: Sections 8.4--8.5

24

Nov 24

Categorical Data Analysis. One-Way Tables. Goodness of Fit

Chapter 9: Sections 9.1—9.2

25

Dec 1

Categorical Data Analysis. Two-Way (Contingency) Tables

Chapter 9: Sections 9.3—9.4

26

Dec 4

Time Series

Chapter 13: Sections 13.1—13.4

27

Dec 8

Forecasting by Linear Regression

Chapter 13: Sections  13.7-13.8

28

Dec 11

Review

 

 

TBA

Final Exam

 

 

Handouts and Homework are available on Blackboard.