Syllabus
CSC 323 - Data Analysis and Statistical Software

Joseph A. Morgan
Office (Loop): CTI 717
Phone (Loop): (312) 362-8401
Email: jmorgan1@condor.depaul.edu

Texts & Printed Resources.

• Required: Lecture Notes.
• Optional: (SAS) SAS System for Elementary Statistical Analysis. Schlotzhauer & Littell. SAS, 2nd edition, 1997.
• Optional: (MM) Introduction to the Practice of Statistics. Moore and McCabe. Freeman, 4^th edition, 2002.
• Optional: (SASMM) SAS Manual for Moore and McCabe's Introduction to the Practice of Statistics. Evans. Freeman, 3rd edition, 1999.

Schedule - Lectures/Projects/Exams.

The following schedule is tentative and is therefore subject to change. Note that problem sets will not count towards your final grade. They are intended as a review of material covered in the prior lecture session.

1. Introduction & Normal Distribution
2. Problem Set #1; Student t & Introduction to SAS
3. Sampling Distributions; Program #1 given
4. Problem Set #2; Confidence Intervals; Midterm Tutorial
5. Midterm
6. Hypothesis Testing & Polling Problem; Program #1 due; Program #2 given
7. Correlation & Regression
8. Problem Set #3; Regression contd.
9. Regression contd.; Final Tutorial
10. Final; Program #2 due

Grading.

Grades will be determined from percentage of total points earned on programming assignments as well as the midterm and final exams.

The grade breakdown will be as follows:

• Programming Assignments : 30%
• Midterm : 30%
• Final : 40%

Cutoffs for grades will be no higher than the following: 90-100, A; 80-89.99, B; 70-79.99, C; 60-69.99, D; 0-59.99, F. Pluses and minuses will be given at the high/low ends of each grade range (no A+'s or D-'s).

Topics.

• Introduction:
  Terminology. Descriptive statistics. The Normal distribution and the Student-t distribution. Preliminary SAS topics - the SAS system.
  Optional Readings:
  MM - Chap 1: pp38-41, pp48-50, pp68-73
  SASMM - Chap 1: pp1-40
  SAS - Chap 2-5: (skip pp88-92, pp112-117 & pp145-155).

• Sampling Distributions, Confidence Intervals and Hypothesis Testing:
  Standard error and the Normal distribution. The accuracy of proportions and means. Confidence intervals and simple hypothesis testing for the population mean and proportion (and possibly other parameters). Sample size determination to estimate the population mean and proportion. SAS functions for simple hypothesis testing.
  Optional Readings:
  MM - Chap 3: pp248-250; Chap 5: pp373-378, pp391-396; Chap 6: pp417-425, pp435-447; Chap 7: pp504-512; Chap 8: pp586-594
  SASMM - Chap 2: pp50-59
  SAS - Chap 5: pp149-155; Chap 6: pp163-178

• Correlation and Regression:
  Definitions and explanation of these two related concepts. Estimates of slope and intercept. The simple regression model, its parameters and assumptions. Conducting a residual analysis to assess these assumptions. SAS functions for correlation and regression.
  Optional Readings:
  MM - Chap 2: pp126-140, pp179-182; Chap 10: pp658-662
  SASMM - Chap 2: pp75-76, pp78-81 & pp83-87
  SAS - Chap 9 & 10 (skip pp298-303, pp306-324, pp343-352 & pp357-361)

Class policies.

Attendance is not mandatory. However, students are responsible for anything that transpires during a class. Lecture notes and practice problems are available. The notes cover the material required for this class and the practice problems should be sufficient to provide adequate preparation for exams. However, be aware that the material discussed in class may be covered in more detail than the lecture notes. Also, problems may be discussed in class that are not posted.

The course home-page will serve as the central information repository for the course. Make sure to check this page for announcements, assignments, exam details, etc.

Plagiarism/Cheating:

Incompletes: