Click for www.electoral-vote.com 190: Basic Statistics

K. Scott Alberts
Associate Professor of Mathematics
Truman State University

salberts@truman.edu
Violette Hall 2132 - 660.785.7649

Fall 2008
Office Hours:

 

MWF      9:00- 10:15 AM

TTh        9:30- 11:15 AM
MW        3:30-   4:15 PM

    (plus appointments)

Home 190 HW 190 Project

Objectives: By the end of this course, a successful student will:

Textbooks and Materials:
Sullivan III, Michael, (2008) Fundamentals of Statistics, 2nd ed. Prentice-Hall. ISBN 013-156987-2
Huff, Darrell. How to Lie with Statistics, (any edition), Norton and company.  ISBN 0-39-331072-8 (you can share this one - It's not ordered by the bookstore - several copies are on reserve in the library.)

You will also want a moderately good calculator that can do combinations.
     (You need "nCr" on the calculator - Wal-Mart has several under $10)
All other materials will be provided as needed 

Honor Code and Academic Integrity: This course uses an honor code. What this means is that I treat you and your colleagues as grown-ups. You are responsible for your own behavior and for what you see. You are the principal beneficiary of an honest university, and the principal victim of a university without integrity. I definitively think that cheating is not a victimless crime.

I trust you to police yourself, both individually and collectively. If you see something dishonest, I expect that you will try to intervene to stop it. In addition, I assume that you will inform me if something dishonest has happened. A person who has seen dishonest behavior and doesn't tell me about it deserves the same penalty as the person who cheats. I occasionally ask you to affirm your honor by signing an honor pledge, similar to the one I give you on the first day of class.

It is assumed that everyone will behave in a trustworthy and honest manner throughout this course. I give a great benefit of the doubt as long as possible, but this class has no room for those who won't play fair.

I have no patience for dishonesty. Cheating, Plagiarism, and other unethical or dishonest acts are not tolerated in this class. If you have any questions about what particular behaviors violate the policy in this class, please ask me.

Any cheating or violation of this code normally results in failing the course and forwarding to the Campus Judicial Officer and the Academic Affairs Office.

Evaluation: Course grades are determined by combining all of the points for the semester, which comes from randomly collected homework assignments, randomly occurring quizzes, projects, midterms, and a comprehensive final exam.

A mediocre student should expect a low C, although  I hope that none of you are mediocre students. I plan to use a straight percentage system, with the possibility of a small curve applied at the end.

This system is designed to reward students who stay current with the class, and do not fall behind. Statistics is a topic that can cascade away from you, if you let it. If you put in at least one hour of out-of-class work for every hour of class, you will almost certainly do well in the course.

Grades will be based on the following 1000-point system: 

Type of Grade

Number

Points

Total Points

Computer Labs 6 of 7 10 60

Homework Assignments

15 of 17 (or more)

10

150

Quizzes

4 of 6 (or so)

25

100

Project

1

100

100

Midterm Exams

3

100

300

Final Exam

1

170 170

Best Exam +/- Participation/Newspapers

 

125

120

Dropped Homework and Quizzes: Your fifteen highest homework grades will be added together; the others will be dropped (how many are dropped depends on how many were collected). You may drop two for sure, even if fewer than nineteen homework assignments are collected (if that happens, the final will be worth more to compensate). Quizzes will be treated the same way. Since you can drop homework and quizzes, late homework is NEVER accepted and missed quizzes CANNOT EVER be made up. Ever. Really, I mean it. Even if your goldfish dies or you are really, really sick. That's why you get to drop some. Don't waste them early

Dice Rolling: Homework will be collected and quizzes will be given according to a probabilistic scheme. At the beginning of almost every class session, two (somewhat) fair dice will be rolled. The outcome on the dice can be read from the table below. In general, homework is collected 1/2 of the time, a quiz is given about 28% of the time, and neither happens about 22% of the time.
 

Roll

Probability

% Likelihood

Outcome

2

1/36

~ 3%

Quiz Given

3

2/36

~ 6%

Quiz Given

4

3/36

~ 8%

Quiz Given

5

4/36

~ 11%

Homework Collected

6

5/36

~ 14%

Homework Collected

7

6/36

~ 16%

Free Day

8

5/36

~ 14%

Homework Collected

9

4/36

~ 11%

Homework Collected

10

3/36

~ 8%

Quiz Given

11

2/36

~ 6%

Free Day

12

1/36

~ 3%

Quiz Given

On rare occasions (I am handing back an exam, we have a guest speaker, I'll be away, or something like that), I might propose another system. It's no big deal. Remember though, that if we don't get enough homework or quizzes, the final exam is will be worth more points towards your final grade. If we have too many, you get to drop more.

Computer Labs: In real life, statistics is normally done with computers. While I will ask you to do some things by hand, just so you learn how to do them, it is also important to learn how computers can make the job easier. Computer Lab assignments will be worth the same as homework, except that they will always be due, and you can never drop them. On the other hand, I will accept them late without penalty.

 

Homework: From time-to-time, you may want to turn in homework even when the dice says you don't have to. You can propose this, and I will be happy to have everyone's homework graded, unless three students present object (students who stay home don't get to vote). When this happens, it will count as a regular homework grade.  We will still roll the dice to see if we will have a quiz.

Homework will be assigned every class period, in addition to assumed reading of each section. Each assignment will consist of about an hour's worth of required (collected) homework and about an hour's worth of optional problems. Homework will be both odd and even- numbered problems; all of the optional problems are odd-numbered (with answers in the back of the book). Students are invited to meet with each other, especially those with different backgrounds, to talk about their homework problems and other topics in the class. You should write up your own solutions. Homework is graded on a ten-point system. Once assigned, homework will be posted on Blackboard and on my Web Page: http://www2.truman.edu/~salberts/190hw.htm

Computer Labs: In real life, statistics is normally done with computers. While I will ask you to do some things by hand, just so you learn how to do them, it is also important to learn how computers can make the job easier. Computer Lab assignments will be worth the same as homework, except that they will always be due, and you can never drop them. On the other hand, I will accept them late without penalty.

Quizzes: Quizzes occur randomly, based on the roll of the dice at the beginning of the class. A typical quiz is scheduled to take ten minutes, and will contain two problems. Quizzes will be open-book, notes and homework, but will have a strictly enforced time limit.

Typically, one of the the problems will come directly from the homework (perhaps from the optional problems), and if you did that problem on your homework, you will be able to copy it directly. If you didn't do that problem, or did it incorrectly on your homework, you should still have time to complete it.

Exams: Exams are more in-depth than Quizzes, but most of the questions will be similar to those found on Quizzes. Several might be more challenging. Mid-term exams will take the entire class period, and the final exam will be scheduled for two-hours. Midterms are only worth 10% of your grade, each, and the final is worth 17% of your grade (depending on dice rolls), and your best exam is worth an additional fraction (see below).

The class will have three midterms, one roughly after chapter 4, one after chapter 7, and one after chapter 9. The final will be at the regularly scheduled time. All exams will be closed book and notes, except for the table and formula card included in your textbook. If you would like, you can make any additional notes you would like on that card.

I hate giving make-up exams. If you are going to be away, take the exam early. You will be penalized 10% to 40% for taking an exam after it is given to the class, even if you have a good reason for taking it late. A zero-percent penalty is possible in true emergencies.

Project: This class has a small project, due in several parts over the course of the semester. It will involve the Huff book, How to Lie with Statistics. In a group of two or three, you will find a data set, formulate a (false) hypothesis regarding it, and write a paper defending your false hypothesis. An attached appendix will tell the real story. This project will be turned in in 3 parts.

Bonus: Best Exam, Participation and Newspapers:
In order for this course to be successful, you must fully participate in the class.

I expect everyone to:

To that end, some points are left "up in the air" for this course:

To get additional bonus points, you may do some short write-ups:

Special Needs: If you have a disability or special need during this class, you should contact me and the Disability Services office (x4478) early in the semester. To ensure specific accommodations, that office must document and verify your needs. While reasonable accommodations will be provided for any special needs, excellence is required of all students in the class.

Tentative Course Schedule:

 

 

Topics

Text

1

 

Introductory Stuff and Graphs

1 and 2

2

 

Describing Data

3

3

 

Regression / Correlation

4

4 X    
5  

Probability (& exam)

5

6  

Discrete Random Variables

6

7  

The Normal Distribution

7
8 X

Sampling Distributions

more 7 and 8

   

Midterm Break: No Class

 
9  

Z-tests and One-sample CIs (& exam)

9
10  

Hypothesis Tests

10

11  

P-values and Power

more 10
12*  

Two-sample Tests

11

13   Chi-Square and Regression 12
14* X

Exam & Thanksgiving

 
15  

More Regression and Exam Review

12
  X Final Exam - Tuesday of Finals Week @ 11:30 AM
Final Exam - Friday of Finals Week @ 9:30 AM
 

X = exam, * = short week

Requests to move the final exam MUST be received before Midterm Break.