Class Times: TR 2:30-3:45
pm Room: Computer
Lab-C243
Instructor
Dr. Sayeed Payesteh Office: C-211
Phone: 3655 Hours: M
10:00-Noon
TR 12-2:15 pm
e-mail: sayeed.payesteh@uwc.edu
Course Requirements
This course introduces basic
statistical techniques and the statistical reasoning useful for business applications. Specific topics covered in the course
are listed in the Course Timetable. Understanding the mechanics of the basic probability
and statistical methods is essential; however, the course is not further
exercises in numerical evaluation of tedious algebraic expressions that can be
done easily with a pocket calculator or a computer. The emphases of this course are:
Required
material
· Textbook: Moore, D.S. McCabe, G. P., Duckworth, W. M., and Sclove, S. L. The Practice of Business Statistics: Using Data for Decisions, Freeman Pub. 2003.
· Calculator: A simple calculator that computes mean and standard deviation
Class Participation
Participation in class is an important part of your learning experience. Regular attendance is expected along with active class participation. . Reading the assigned material before class and completing assigned homework on time will help you to get the most out of your experience in this class.
Class discussion quizzes will be given on a regular basis in the class. Students will form 2-person teams to work on these quizzes (3 in exceptional cases). A number of these quizzes will be collected to reward points for active class participation as shown in the table below.
|
Minimal attempt |
2 point |
|
About one-half of the problems completed with solutions shown/explained |
4 points |
|
Most of the problems completed with solutions shown/ explained |
8 points |
|
All problems completed with solutions shown/explained |
10 points |
The quizzes will be discussed during the lecture. Solutions
will not be posted. Some of the
points on each exam will be given to questions very similar to the quizzes.
Quizzes done by a one and/or more than 3 persons will not be given credit.
Student Responsibilities
This course is challenging. Each student is responsible for his/her learning. If a section of the textbook and/or a homework problem is puzzling you, it is your responsibility to make an appointment to see me. You are encouraged to ask questions during class and office hours.
Classroom Conduct
Please turn off cell phones and any audible device during classes. Please do not hold private conversations during class. It is distracting to both the instructor and to the other students in the class. Likewise, walking in very late and leaving before the class has ended besides of the detrimental effect on the learning of the student engaging in these behaviors, impede the learning of all students in the lecture.
Computer
Requirements
Knowledge of a statistical package is an indispensable part of the modern statistics. My class presentations, some homework assignments, and the exams are all computer based. I use the statistical package MINITAB in the class for exploring statistical concepts and demonstrating statistical analysis of actual data useful for business decisions. No previous knowledge of the package for this class is assumed. In the class, you should focus on the data analysis and the concepts that I present rather than on the way that I generate MINITAB outputs.
Video
Programs
Programs from
the video series Against All Odds: Inside Statistics (produced by the Consortium
of Mathematics and Its Applications in association with the American
Statistical Association and American Society for Quality Control under an
Annenberg Foundation/Corporation for Public Broadcasting Project) will be shown
in the class. These programs demonstrate interesting examples of basic
probability and statistics in everyday use.
Each program will be followed by a brief class discussion.
1.
Read the assigned sections prior to the class.
2.
Homework problems will be collected at the beginning of
the class on the due date. Working with
other students on the assignments is highly recommended. The TAs will grade homework assignments as
follows. A randomly selected problem in each set will be graded on a 3-point
scale for correctness. Then, the remaining problems will be graded mostly for
completion. Based on completion of all
other problems, an additional 7 points will be awarded. So, each homework
assignment can earn the student 10 points. Please note that receiving a
complete score of 10 does not necessarily mean that all of your solutions are
correct. You should check your solutions with me. Late assignments will not be given full
credit.
Exams
and grading
Midterm exams
Three midterm exams and an optional make-up exam will be given in the class on the dates shown below.
Exam
1 Feb.
13
Exam
2 March
15
Exam 3 Apr.
26
The exams are cumulative and closed book/notes. However, you will be allowed to use one sheet (8½ x 11) of notes. Your notes should only include formulas and/or definitions. Document containing solutions to problems (examples, homework, computer output, etc.) are not allowed. Some of the points on each exam will also be given to questions very similar to the homework problems.
Make-up exam
Policy
Rules for the make-up exam are
the same as the midterm exams. Eligibility for taking the make-up exam will be
established based on official medical documents. Make-up exam will not be given without a prior arrangement with me.
The exam is cumulative and
closed book/notes. You will be allowed to use one sheet (8½ x 11) of notes. Your notes should only include formulas
and/or definitions. Document
containing solutions to problems (examples, homework, computer output, etc.)
are not allowed. Make-up exam will not be given without a
prior arrangement with me.
Grading Scale
Grading
|
Score |
Grade
|
|
94 – up |
A |
|
90 - <
94 |
A- |
|
87 - <
90 |
B+ |
|
84 - <
87 |
B |
|
80 - < 84 |
B- |
|
75 - < 80 |
C+ |
|
70 - < 75 |
C |
|
65 - < 70 |
C- |
|
60 - <
65 |
D+ |
|
55- <
60 |
D |
|
50 - <
55 |
D- |
|
< 50 |
F |
Homework
Assignments 10%
Quizzes 10%
Midterm
Exams (3@20%) 60%
Final
Exam 20%
Course
Timetable
Note: This timetable is tentative and may
be updated during the semester. Updates
will be announced in the class.
1. Read the assigned sections before the class dates shown in the first column of the timetable.
2. Homework is due at the beginning of your class on the due dates shown in the last column of the timetable.
3. Show your work. Credit will not be given for an answer without a clear indication as how it is obtained.
4. Presentation of a statistical analysis is an important task. Write your name on a cover page; staple all pages. Edit (cut and paste) and annotate the computer outputs. Messy products will not be graded.
|
Dates |
Topics |
Problems |
Due |
|
|
1/23 1/25 |
Introduction to the course, requirements, policies Displaying Distribution with
Graphs Distribution with Numbers |
1.2, 7, 8, 9, 11, 12, 19, 20, 26, 87 1.40, 49, 50, 52, 53, 55, 56, 58, 86, 89, 92 |
1/30 |
|
|
1/30 2/1 |
1.3 |
Examining Distributions: The
Normal Distribution |
1.62, 64, 65, 66, .68, 79, 81, 82 , (1.83 Use Minitab-Normality Test) |
2/6 |
|
2/6 2/8 |
2.1- 2.2 2.5 |
Examining Relationships:
Scatter plots, Correlation Examining Relationships:
Relations in Categorical Data |
2.7, 15, 21, 22, 23, 26, 29, 30, 31, 32, 33, 34 2.82, 85, 86, 87, 88, 89, 90 |
2/13 |
|
2/13 |
|
Exam 1 |
|
|
|
2/15 |
3.1, 3.3 |
Designing Samples, simple
random sample, Parameter, Statistic, Sampling Variability, Sampling
Distribution |
3.2,
3.5 3.12, 3.58, 3.67, 3.68 |
2/20 |
|
2/20 2/22 |
4.1, 4.2 5.1, 5.4 |
Randomness, Probability
Models General Probability Rules,
Conditional Probability |
4.12, 16, 20, 21, 32, 34, 36 5.3, 9, 10, 11, 13, 15, 60, 61 |
2/27 |
|
2/27 3/1 |
4.3 4.4 |
Random Variables The Sampling Distribution of
a Sample Mean, Central Limit Theorem |
4.38, 41, 46, 56, 71, 74, 75, 111, 113, 115, 116, 117, 118, 4.94, 95, 97, 100, 108, 109 |
3/6 |
|
3/6 3/8 |
5.2 5.3 |
Binomial Distributions Poisson Distributions |
5.26, 27, 30, 31, 34, 35, 37, 42, 46, 48 |
3/13 |
|
3/13 |
|
Review |
|
|
|
3/15 |
|
Exam 2 |
|
|
|
3/19 3/23 |
|
Spring Recess |
|
|
|
3/27 3/29 |
6.1 |
Confidence Intervals |
6.10, 12, 14, 15, 18, 21,
27, 28 |
4/3 |
|
4/3 4/5 |
6.2, 6.3 |
Test of Significance, z test
for the Mean, P-value |
6.31, 41, 35, 36, 37, 39, 40, 41, 42, 44, 58, 61, 67, 71, 73, 96 |
4/10 |
|
4/10 4/12 |
7.1 7.2 7.3 |
Inference for the Mean of a
Population Comparing Two Means, Inference for the Population
Spread |
7.17, 18, 19, 20, 23, 24, 25 7.77, 78, 79, 91 (use Minitab) |
4/17 |
|
4/17 4/19 |
8.1-8.2 9.1, 9.2 |
Inference for Proportions Inference for Two-Way Tables |
8.17, 8.18, 8.25, 8.42 9.10, 9.12, 9.18 |
4/24 |
|
4/24 |
|
Review |
|
|
|
4/26 |
|
Exam 3 |
|
|
|
5/1 |
2-3-2.4 |
Regression line |
2.46,
2.47, 2.50 |
5/3 |
|
5/3 5/ 8 |
10.2-10.3 |
Analysis of Regression Model
with One Predictor Continued |
10.5, 18, 26, .30, 33, 40, 41, 43, 44 |
5/8 |
|
5/15 |
Tuesday |
Final Exam (2:00-3:45) in the Computer lab
(C-243) |
|
|