STA 3163

Statistical Methods

Fall 2002

Instructor: Dr. Bill Wilson Office: Bldg 11/Room 2339 Phone: 620-2862

email: bwilson@unf.edu Office Hours: 2:00 to 4:00 pm Mon, Wed

1:00 to 5:30 pm Thurs

Or by mutual arrangement

webpage: http://www.unf.edu/~bwilson/sta3163.htm

Text: Statistical Methods, 2nd Ed., Freund & Wilson

Tentative Topic Outline:

Dates

Topics

Text Material

8/26,

8/28

Descriptive Statistics

More Descriptive Statistics

Chapter 1

9/2

9/4

Labor Day Holiday,

More Descriptive Statistics

Chapter 1 *

9/9

9/11

Discrete Probability

More Discrete Probability

Chapter 2

9/16

9/18

Continuous Probability

More Continuous Probability

Chapter 2+

9/23

9/25

Statistical Inference

Inferences for a single population

Chapter 3

Chapter 4*

9/30

10/2

Inferences for two populations

More inferences for two populations

Chapter 5

10/7

10/9

Inferences for two populations

More inferences for two populations

Chapter 5+*

10/14

10/16

Inferences for two or more means – ANOVA

Inferences for two or more means - ANOVA

Chapter 6

10/21

10/23

Inferences for two or more means –ANOVA

Inferences for two or more means - ANOVA

Chapter 6+

10/28

10/30

Inferences for two or more means – ANOVA

Inferences for two or more means - ANOVA

Chapter 6*

11/4

11/6

Inferences for two or more means – ANOVA

Chapter 6+

11/11

11/13

Veteran’s Day Holiday

Linear Regression

Chapter 7

11/18

11/20

Linear Regression

Chapter 7*

11/25

11/27

Linear Regression

Chapter 7+

12/2

12/4

Linear Regression

Chapter 7*

* Project due on Friday of these weeks.

+ In class quiz on Monday of these weeks.

Grading: Semester grades will be based on projects (six over the semester) and short concept quizzes (the best 4 of 5 over the semester.) Grades will be assigned according to the following:

Activity

Percent

Grade

Percent/Average

Projects

Quizzes

A-

B+

B-

C+

95-100

90-94

87-89

83-86

80-82

77-79

70-76

60-69

below 60

Projects account for the majority of the semester grade. These projects will be done using the computer (Mostly on SAS). No previous computer experience is necessary. All programming steps will be developed in class for doing all projects. The projects will be formal submissions done on a word processor. We will discuss how to incorporate statistical output into Word and WordPerfect. If you desire to use another word processor, you will need to be able to import output from SAS, and SPSS. (Most have procedures that are straightforward and not difficult to implement).

Projects will be written up in the following report format. Each topic will contain as much or as little information as the particular project dictates. It is important that the writing in these reports be as clear and correct as possible. Points may be subtracted for spelling and grammatical errors. Late submissions will be penalized.

Outline of Projects:

I. Abstract - a short summary of the project results

II. Introduction - a brief summary of the background and rational for the study. A description of the variables used.

III. Study design and procedures - a description of the design used for collection of data and the details of data gathering.

IV. Descriptive statistics - a summary of the results for each variable.

V. Statistical methodology - a description of the statistical methods used.

VI. Results and conclusions - the results of the statistical analyses.

VII. Discussion - the interpretation of the analyses.

VIII. Appendices - might include a listing of the data.

In class concept quizzes. Short quizzes will be given on each broad topic covered in class. The questions will require no computation and will normally be short answer questions. An example might be: “If a set of data has a standard deviation of zero, what do we know about the data?” No make up quizzes will be given. You will be allowed to drop your lowest quiz grade.