Statistical Methods in Business 33:623:385, Sections 03, 04

 

Andrzej Ruszczynski

Time and Place

Section

Time

Place

03

    TTh       1:40—3:00

Beck 251

04

    TTh       3:20—4:40

Beck 253

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, 9th Ed., Prentice Hall, NJ, 2003. The 8th edition of this book is acceptable as well.
Homework assignments and other information can be obtained from the course Web page http://www.rusz.rutgers.edu/stat_syl.htm

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 5

Review: Sample Space. Random Events

Chapter 3

2

Sep 7

Review: Random Variables

Chapters 4--5

3

Sep 12

Review: Sampling. Central Limit Theorem

Chapter 6

4

Sep 14

Review: Estimating Population Mean. Confidence intervals

Chapter 7, Sections 7.1—7.2

5

Sep 19

Review: Estimating Population Proportion

Chapter 7, Sections 7.3—7.4

6

Sep 21

Review: Testing Hypotheses on Means and Proportions

Chapter 8, Sections 8.1—8.5

7

Sep 26

Simple Linear Regression

Chapter 12: Sections 12.1—12.4

8

Sep 28

Confidence Intervals and Hypotheses for the Regression Coefficients

Chapter 12: Section 12.5

9

Oct 3

Usefulness of the model

Chapter 12: Sections 12.6—12.9

10

Oct 5

Multiple Linear Regression. Building the Model

Chapter 13: Sections 13.1—13.3

11

Oct 10

Review

 

12

Oct 12

Midterm 1

 

13

Oct 17

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

Chapter 13: Sections 13.4—13.5,

 13.9—13.10

14

Oct 19

Multiple Linear Regression. Nonlinear Models

Chapter 13: Sections 13.7—13.8

15

Oct 24

Multiple Linear Regression. Nested Models. Error Analysis

Chapter 13: Sections 13.11—13.14

16

Oct 26

Comparing Two Population Means and Proportions

Chapter 9: Sections 9.1—9.4

17

Oct 31

Small Sample Tests for Two Population Means

Chapter 9: Sections 9.1—9.4

18

Nov 2

Comparing Two Population Variances

 Chapter 9: Sections 9.4—9.5

19

Nov 7

Nonparametric Tests for Two Populations

Chapter 16: Sections 16.1—16.4

20

Nov 9

One-Way Analysis of Variance

Chapter 10: Sections 10.1—10.3

21

Nov 14

Review

 

22

Nov 16

Midterm 2

 

23

Nov 21

Two-Way Analysis of Variance

Chapter 10: Sections 10.4--10.5

24

Nov 28

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

Chapter 11: Sections 11.1—11.2

25

Nov 30

Categorical Data Analysis. Two-Way (Contingency) Tables

Chapter 11: Sections 11.3—11.4

26

Dec 5

Time Series

Chapter 15: Sections 15.1—15.3

27

Dec 7

Forecasting by Linear Regression

Chapter 15: Sections  15.7-15.8

28

Dec 12

Review

 

 

Dec 18

Final Exam section 3, Beck 251, 8—11 AM

 

 

Dec 21

Final Exam section 4, Beck 253, 8—11 AM

 

Handouts and Homework