Statistics 101 – Section L
Spring 2002
Instructor:
Office:
Dr. Bob Stephenson
327 Snedecor Phone: (515) 294-7805 email: wrstephe@iastate.edu
website: http://www.public.iastate.edu/∼wrstephe/stat101.html
MWF 10:00 am to 10:50 am, TR 1:10 pm to 2:00 pm
MWF 1:10 pm to 2:00 pm, 1126 Sweeney
Section L: W 8:00 am to 9:50 am, 319 Snedecor
Office Hours:
Lecture:
Laboratory:
Required Text: The Basic Practice of Statistics, 2nd Ed., David S. Moore,
W. H. Freeman and Co., 1999
Objectives:
The objectives of the course are to help students develop an
understanding of statistical thinking and to enable students
to apply basic statistical techniques. By the end of the course
students should be informed and critical consumers and producers
of quantitative arguments.
Syllabus:
Tentative Dates
M
M
W
M
M
M
Jan
Jan
Jan
Jan
Feb
Feb
14
21
23
28
4
11
–
F
Jan 18
–
–
–
–
W
F
F
M
Jan
Feb
Feb
Feb
25
1
8
18
Material
Text
Looking at data, graphics
M.L. King Day, No classes
Looking at data, summaries
Scatterplots, correlation
Regression
Producing data
Section 1.1
Section 1.2
Sections 2.1, 2.2
Sections 2.3, 2.4
Sections 3.1, 3.2
EXAM 1 - Wednesday, February 13
W
F
F
F
Feb 20
Feb 22
Mar 1
Mar 8
–
–
–
W
W
F
Feb 27
Mar 6
Mar 15
Probability, distributions
Normal distributions
Sampling distributions
Confidence intervals
Section
Section
Section
Section
4.1
1.3
4.3
6.1
EXAM 2 - Wednesday, March 13
M
M
W
F
Mar 18
Mar 25
Apr 3
Apr 12
–
–
–
–
F
M
W
F
Mar 22
Apr 1
Apr 10
Apr 19
SPRING BREAK
Significance tests
One sample inference, means
Two sample inference, means
Sections 6.2, 6.3
Section 7.1
Section 7.2
EXAM 3 - Wednesday, April 17
M
F
M
Apr 22
Apr 26
Apr 29
–
W
Apr 24
–
F
May 3
Inference, proportions
Two-way tables, description
Two-way tables, inference
FINAL EXAM - Week of May 6 - 10
1
Sections 8.1
Section 2.5
Chapter 9
Course Information and Policies
• Exams: You may use a calculator and formula sheet(s) for the exams. There is a detachable
formula sheet in your textbook. If you buy a used copy without a formula sheet you can print
one from the textbook website: www.whfreeman.com/bps/. There is a link to this site on
the course webpage. If you know that you have a conflict with an exam due to circumstances
beyond your control, you must notify me before the time of the exam. If you fail to notify
me, you will receive a zero for that exam. Do not make plans for semester break
before you know your final exam schedule. Sample exams are posted on the course
website.
• Lab: There is a weekly two-hour laboratory scheduled for each section. Labs provide
opportunity to actively experience statistical ideas discussed in lecture. Attendance at
lab is mandatory. In addition to doing the laboratory activities you can get help from
lab instructor and/or course instructor. Bring your book, class notes and a calculator to
lab. There is no lab the first week of the semester.
the
the
the
the
• Homework: Individual practice is an important part of learning. For this reason homework
problems will be assigned throughout the semester. Homework assignments will be due in
my office by 5:00 pm on the assigned due date. Assignments turned in late will be penalized.
Solutions to homework problems will be posted on the course website.
• Quizzes: Be prepared to take a short quiz at any time during lecture. Quizzes will not
be announced so attending all lectures is encouraged. Quizzes will be based on information
presented in class, on labs and homework.
• Computing: Some labs/homeworks will incorporate work on the computer using the statistical analysis package JMP. Detailed instructions will be provided with all computer assignments. Help with JMP is available in 307 Snedecor at the times posted. Be sure to
allow enough time to complete the JMP assignments. It is your responsibility to allow for
computer failures and/or difficulty finding a computer with the JMP software. JMP software
can be downloaded to your personal computer for free using the Scout program. If you have
questions about how to do this go to the Solutions Center in Durham.
• Project: A project will be assigned during the semester. This project is intended to expose students to the collection and statistical analysis of data to solve real world problems.
Students will work in groups. Specific details will be given after the first exam.
• Grading: Letter grades including plus/minus will be given based on performance on exams,
labs, homework and the project. The point distribution is as follows:
Exam 1
Exam 2
Exam 3
Final Exam
75
75
75
125
Lab/Hmwk
Quizzes
Project(s)
Total
2
75
30
45
500