Syllabus for MSIS385

Last updated 9/14/99 6:59 PM

Tentative will be adjusted as we go along

Following is the syllabus for the MSIS 385 course "Statistical Methods in Business". This is just an outline and some parts may be modified as we go along. Always consult the home page of the course. For the latest. Also all homework assignments will be posted there including announcements, information about the upcoming exams, current homework, etc.

 

Computer Projects:

We will use Microsoft Excel as our platform to demonstrate concepts. As a result one or two lectures will be in computer labs to assist you getting familiarized with

Text books:

 Required: M.L. Berenson & D.M. Levine, "Basic Business Statistics", Sixth Edition, Prentice Hall, 1996.

 Optional: M.R. Middleton, "Data Analysis Using Excel", Duxbury, 1997.

Grading Policy:

      Two term exams each worth 30% of your grade

      5 to 7 homework assignments (including some Excel projects) altogether worth 40% of your final grade

 Please note: Regardless of your average if you fail to turn in more than two homework assignments you will fail the course

 Please note: You will lose 25% for late homework and after one week no late assignment will be accepted

 

Calendar (tentative, needs correction)

September 1999

Sunday

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

 

Week 1:

 

 

 

1

Orientation

 

2

3

4

5

Week 2:

6

Labor Day Holiday

7

8

Review of Probability

9

10

11

12

Week 3:

13

Review of Probability

14

15

Sampling Theory

16

17

18

19

Week 4:

20

Sampling theory

21

22

Sampling Theory

23

24

25

26

Week 5:

27

Estimation

28

29

Estimation

30

1

2

October 1999

3

Week 6:

4

Estimation

5

6

Simple Regression

7

8

9

10

Week 7:

11

Simple Regression

12

13

Simple Regression

14

15

16

17

Week 8:

18

Multiple Regression

19

20

First mid term Exam

21

22

23

24

Week 9:

25

Hypothesis testing

26

27

Hypothesis testing

28

29

30

November 1999

31

Week 10:

1

One and two sample tests

2

3

One and two sample tests

4

5

6

7

Week 11:

8

Analysis of variance

9

10

Analysis of variance

11

12

13

14

Week 12:

15

Analysis of variance

16

17

Times Series analysis

18

19

20

21

Week 13:

22

Times Series analysis

23

24

No Class, Friday classes meet this day

25

Thanksgiving Holiday

26

Thanksgiving Holiday

27

Thanksgiving Holiday

December 1999

28

Week 14:

29

Applications in quality management

30

1

Applications in quality management

2

3

4

5

Week 15

6

Applications in quality management

7

8

9

10

11

12

13

14

15

16

17

18

 

 

Detailed Topics

Following is a tentative detailed description of topics. We may change and rearrange as we go along. More details will be supplied as we get closer to the topics.

 

 

 Weeks 2&3

Review of Probability and basic concepts:

 

 Sample space, events, random variables, distribution and density functions

 Mean and variance, median, and quintiles, mode

 Normal distribution, sample statistics, law of large numbers and central limit theorem.

Reading: Glance through Chapters 6 & 7 through 7.6, Read chapters 8 & 9

 

 Weeks 4 & 5

 notion of random sample, statistics, population and parameters

 mean, variance and distribution of sample mean, sample variance

Reading: Chapter 9

 

 Weeks 4 & 5

 biased and unbiased estimators

 interval estimation of mean when variance is known and normal distribution assumed

 Chi-squared and Student t distributions and their properties

 Interval estimation of mean when variance is not known

Reading: Chapter 10 sections 10.1-10.3, 10.5-10.9

 

Weeks 6&7

 Simple Regression using least squares

 Correlation analysis and standard error of estimation

 Diagnostics and evaluation of assumptions

 Inference about population in regression

Reading: Chapter 17

 

Weeks 8

 Multiple regression

 (Details to be specified )

 First mid term exam

Reading: Chapter 18: 18.1-3 18.11-14

 

Weeks 9

 Hypothesis testing for single populations

 (Details to be specified )

Reading: Chapter 11 (sections to be specified)

 

Weeks 10

 One and two sample tests

 (Details to be specified )

Reading: Chapters 12 and 13 (sections to be specified)

 

Weeks 11&12

 ANOVA

 (Details to be specified )

Reading: Chapter 14 (sections to be specified)

 

Weeks 12&13

 Time series analysis

 (Details to be specified )

Reading: Chapter 19 (sections to be specified)

 

Weeks 13&14

 Applications in Quality Management

 (Details to be specified )

Reading: Chapter 16 (sections to be specified)

 

 

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