CSC 323 Data Analysis and Statistical Software I

Syllabus

Winter 2000

Section 803

Michael Carniello

Email: mcarniel@condor.depaul.edu

Web: http://condor.depaul.edu/~mcarniel/csc323.html

Phone: 847-581-7405

Texts:

Statistics. Freedman, Pisani, and Purves. Norton,

3rd Edition 1998. (FPP)

SAS System for Elementary Statistical Analysis. Schlotzhauer

and Littell. SAS Institute, 2nd Edition 1991. (SL)

Grades:

Grades will be based on the total points earned on five quizzes and programming assignments. The final exam will consist of the equivalent of two quizzes and is required; there is no formal mid term exam. The lowest quiz score (not counting the final quizzes) will be dropped. Makeup quizzes will NOT be given.

Final grades will be determined by the following scale or one for

which grades are higher than indicated:

% Grade

95-100 A

90-94.9 A-

87.5-89.9 B+

82.5-87.4 B

80-82.4 B-

77.5-79.9 C+

72.5-77.4 C

70-72.4 C-

65.0-69.9 D

below 65 F

Class schedule

Class 1:

Topics: Intro to Data Analysis

Normal Distribution

Normal Table

SAS: - DATA step

- PROCs SORT, PRINT, MEANS, UNIVARIATE

Reading: FPP Chapters 1-6

SL Chapters 1-6 Appendix 1,2,4

Homework:

p.65 5

p.75-76 6,7,10

p.84-85 1,3

p.88 1,2

p.92 1-3

p.93-94 1,2,4

 

Class 2:

Quiz 1

Assign Program 1

SAS: - Running SAS on Windows and Unix

- Normal Plots

- PROC CHART

Other topics

 

Class 3:

Topics: Bivariate Data

Scatterplot

Regression

SAS: - Formats

- Data Manipulation

Reading: FPP Chapters 7-12

SL Chapters 9,10 (skip multiple regression topics)

Homework:

p.128-130 1,6,9

p.136-137 7

p.161 1,2,4

p.167 1

p.174 1

p.176-177 2,3

p.187 1

p.193 2

p.198 1,3

p.207 3

p.213-214 1,2

 

Class 4:

Quiz 2

Collect Program 1

Assign Program 2

SAS: - PROC RANK

- Normal Scores

 

Class 5:

Quiz 3

Topics: Probability and Proportions

Reading: FPP Chapters 13-18

Homework:

p.227 1-2

p.230 2,7

p.240 1

p.250 3

p.252-253 1,2,7,8

 

Class 6:

Quiz 4

Collect Program 2

Assign Program 3

SAS: - proportions

Homework:

p.278 6,7

p.280 2

p.290 1

p.303-304 1-3,6

p.319 5

 

Class 7:

Topics: Proportions

Univariate Data

Confidence Intervals

Reading: FPP Chapters 19-25

Homework:

p.349-350 1,3,8

p.366 3

p.371 3

p.383 2

p.387 6

p.388 2

p.390 1

p.392 4

 

Class 8:

Quiz 5

Collect Program 3

Assign Program 4

Topics: Univariate Data

Confidence Intervals

Homework:

p.413 2,5

p.421 6,7

p.425-426 2,3,5

p.454 7

p.456 3

 

Class 9:

Topics: Hypothesis Testing

univariate data

proportion data

checking normality of data

Reading: FPP Chapter 26

Homework:

p.478 4-5

p.482-483 2,7,8

p.484 3-5

p.488-489 2-6,10

p.496 1,3,6,7

p.497 3-5

 

Class 10:

Collect Program 4

Topics: Hypothesis Testing

Other topics

 

Class 11

Final Exam (Cumulative)

 

University policies:

Plagiarism:

The university and school policy on plagiarism can be summarized as follows: Students in this course, as well as all other courses in which independent research or writing play a vital part in the course requirements, should be aware of the strong sanctions that can be imposed against someone guilty of plagiarism. If proven, a charge of plagiarism could result in an automatic F in the course and possible expulsion. The strongest of sanctions will be imposed on anyone who submits as his/her own work a report, examination paper, computer file, lab report, or other assignment which has been prepared by someone else. If you have any questions or doubts about what plagiarism entails or how to properly acknowledge source materials be sure to consult the instructor.

Incomplete:

An incomplete grade is given only for an exceptional reason such as a death in the family, a serious illness, etc. Any such reason must be documented. Any incomplete request must be made at least two weeks before the final, and approved by the Dean of the School of Computer Science, Telecommunications and Information Systems. Any consequences resulting from a poor grade for the course will not be considered as valid reasons for such a request.