Syllabus for STA 2023 - Statistics

Fall, 2001

There are lies, damned lies, and statistics.

- Mark Twain

Instructor: Prof. Blake Mellor

MHC 165

6-8614

bmellor@fau.edu

URL: http://www.fau.edu/~bmellor

Office Hours: M 2-4, TTh 2-4, MHC 165

or by appointment

Class Meeting: TTh 12:30-1:50, MAC 204

Text: The Basic Practice of Statistics, Moore, 2nd edition (2000) (Required)

TI-83 Graphing Calculator Guide for Moore's The Basic Practice of Statistics, Neal, 2nd edition (2000) (Recommended)

Required: TI-83+ Graphing Calculator

Objective: This class is an introduction to statistics. You will learn how to represent and analyze data, and how to draw conclusions from the data. A major goal of this class will be to teach you to become critical and informed readers of real data and statistics. You will be doing projects that involves looking, at in some cases collecting, real data. You will also be asked to read articles from newspapers or magazines and critique their use of statistics. We will be placing much more emphasis on how to use the tools of statistics than on proving why they work (which generally requires more advanced mathematics).

Honor Code: Students agree to adhere to the honor code, the text of which is at http://www.fau.edu/divdept/honcol/students/honorcode.html

Grading: Homework Projects 400 pts

Midterm 1 150 pts

Midterm 2 150 pts

Final 300 pts

Total 1000 pts

Lectures: We will be doing a variety of activities in class. I will spend some time in class lecturing, however, I will not be covering everything in the text in class, so it is very important that you read the book (see below). We will also spend time in class working individually and in groups on problems which I provide, or from the text. So it is important that you bring your book to each class.

Reading: You are expected to read the section to be discussed in class before class. While I will cover what I consider to be the "high points", I will often not predict exactly which details you might find confusing, so it is important that you read the text and come to class prepared to ask questions.

Homework and Projects: Your weekly homework will consist of two parts.

  1. There will be problems assigned from the exercises at the end of each section we cover in the text. These problems will not be turned in. Many of the answers are in the back of the book. You are expected to do as many of these problems as necessary, before the next class, to ensure that you have a firm grasp of the material from that section. Occasionally, you may need to do additional problems on topics you find particularly tricky. Some of these problems will appear, verbatim, on the midterms and the final.
  2. Each week, you will also be given an assignment which will be due by class on Tuesday. These will be more complicated projects which involve applying the material covered to date. While these will be graded primarily on their mathematical correctness, the presentation (clarity, spelling, grammar, punctuation, etc.) will count. Late homework will be accepted until class on Thursday, losing 20% each day. After the beginning of Thursday's class, late homework will not be accepted.

It is important that you manage your time well for this class. You cannot do four weeks of work just before an exam and expect to do well. Like any math class, the material builds on itself, and needs to be absorbed in small, frequent chunks. So figure out how much time you need to spend on the class each week, and be sure to block that off. You should expect to spend 5-7 hours a week outside of class, but that will vary widely according to the individual.

Collaboration: You are encouraged to collaborate on homeworks and projects. This means that you may work together to understand and solve the problems, with each member of the group checking and contributing to the work of the others. However, each member of a group must write up their solutions on their own, and must list their collaborators at the beginning of their solution. Failure to do this will be considered plagiarism, which is a gross violation of the honor code and will be dealt with accordingly.

Exams: There will be 2 midterm exams, tentatively scheduled for September 27 and November 8. The final will be a 2 1/2 hour exam on Thursday, December 13, 10:30-1:00.

 

Day

Topic

Reading for this class

Homework (to be done by next class)

Thurs, Aug 23

Graphs and charts

1.1

Ch. 1: 11, 13, 14, 16, 17, 19, 23, 24, 25, 73

Census 2000

Tues, Aug 28

Summary statistics

1.2

Ch. 1: 39, 41, 43, 45, 47, 49, 79, 81, 83

Thurs, Aug 30

Normal distributions

1.3

Ch. 1: 51, 61, 63, 67, 69, 75, 77, 89

Lake Pollution, Part 1

Tues, Sept 4

Correlation

2.1, 2.2

Ch. 2: 9, 10, 11, 12, 13, 16, 21, 23, 25, 29, 91

Thurs, Sept 6

Linear regression

2.3

Ch. 2: 39, 41, 43, 46, 47, 51, 89, 99

Bald Eagles and DDT

Tues, Sept 11

Correlation and causation

2.4

Ch. 2: 61, 63, 65, 67

Thurs, Sept 13

Relations in Categorical Data

2.5

Ch. 2: 78-82, 83, 85, 87, 95, 101, 102

Lake Pollution, Part 2

Tues, Sept 18

Designing samples

3.1

Ch. 3: 17, 19, 20, 21, 23, 25, 28, 29, 30, 31, 63

Thurs, Sept 20

Designing experiments

3.2

Ch. 3: 47, 49, 51, 53, 55, 58, 61, 68, 71, 75

Experiment Design (Due Oct. 2)

Tues, Sept 25

Review

 

Study for exam!

Thurs, Sept 27

Midterm 1

Ch. 1-3

 

Tues, Oct 2

Probability

4.1, 4.2

Ch. 4: 7, 9, 10, 11, 13, 28, 29, 31, 33, 35, 59, 61

Thurs, Oct 4

Sampling distributions

4.3

Ch. 4: 47, 49, 51, 53, 55, 63, 65

Lake Pollution, Part 3

Tues, Oct 9

General probability

5.1

Ch. 5: 9, 11, 13, 15, 17, 55

Thurs, Oct 11

Binomial distributions

Conditional probability

5.2, 5.3

Ch. 5: 31, 33, 35, 37, 39, 45, 48, 51, 53, 57, 60, 61, 63, 64

Genetic Counseling

Tues, Oct 16

Confidence intervals

6.1

Ch. 6: 17, 19, 21, 23, 24

Thurs, Oct 18

Significance tests

6.2

Ch. 6: 25, 29, 31, 35, 38, 41, 43, 45, 51, 53

News Analysis

Tues, Oct 23

Meaning of significance

6.3

Ch. 6: 55, 56, 57, 59, 61

Thurs, Oct 25

Errors in inference

6.4

Ch. 6: 65, 67, 69, 71, 73, 75, 77, 79, 81, 83

Experiment Progress Report

Tues, Oct 30

Inference for a mean

7.1

Ch. 7: 1, 7, 8, 11, 15, 19, 21, 23, 25, 27

Thurs, Nov 1

Comparing means

7.2

Ch. 7: 31, 33, 35, 37, 41, 43, 47, 59, 61, 63, 69, 71

Lake Pollution, Part 4 (Due Nov. 13)

Tues, Nov 6

Review

 

Study for exam!

Thurs, Nov 8

Midterm 2

Ch. 1-7

 

Tues, Nov 13

Inference for a proportion

8.1

Ch. 8: 3, 7, 9, 13, 15, 17, 19, 21, 23

Thurs, Nov 15

Comparing proportions

8.2

Ch. 8: 25, 27, 30, 31, 33, 34, 35, 41, 43, 45, 47, 49

Analyze Experiment Results

Tues, Nov 20

Tables and c 2 test

9.1, 9.2

Ch. 9: 1, 3, 5, 11, 13, 17, 20, 23, 24, 25

Fish Aggression

Thurs, Nov 22

Thanksgiving

 

 

Tues, Nov 27

ANOVA

7.3, 10.1

Ch. 7: 54, 57

Ch. 10: 1, 3, 5, 7, 8, 13, 15, 17

Thurs, Nov 29

Inference for regression

11.1

Ch. 11: 1, 3, 5, 7, 13

Lake Pollution, Part 5

Tues, Dec 4

Review

 

Study for exam!!

Experiment Final Report

Thurs, Dec 13

Final Exam

10:30 - 1:00

Ch. 1-11

Have a good holiday!