Math 281, Introductory Statistics
Olympic College, Winter 2008 (Item #4682)
Instructor: Jason Heinze Office: ST 118
Office hours: M
E-mail: jheinze@oc.ctc.edu
Phone: 475-7737
Lectures: Daily,
Text: Stats:
Data and Models (2nd edition) by De Veaux,
Velleman, and Bock
Prerequisite: Math 99 with a grade of a C (2.0) or better,
or equivalent.
Course Topics: Application of statistics in the context
of various fields; descriptive statistics, linear correlation and regression,
probability, sampling, the Normal Distribution, confidence intervals,
hypothesis testing.
Assessment:
Suggested Homework This is an integral part to ones success in mathematics. However, these homework problems will NOT be
collected and graded. If you do not keep
up with the daily homework on a regular basis, you should not expect to do well
in this course.
Assignments/Graded Homework There will a few in-class projects and/or
take-home problems assigned.
Exams
There will be seven exams: six exams for each part of the text covered and
one COMPREHENSIVE final exam.
Learning
Disabilities/ Special Needs and Requests: If you have a learning disability or any
other special needs or requests please speak with me, as soon as possible, so
we can discuss any assistance that would be helpful and/or notify the Access
Services Office.
Learning Resources: Tutoring is available in the Math Study Center. You may also come to my posted office hours
or drop by and check to see if my office door is open or make an appointment in
advance. I would encourage you to find a
group to collaborate with outside of class.
Policies:
a.
Attendance is highly encouraged, but not mandatory. Be warned, however, that should you miss a
class, you will be held responsible for all the material and work done during
your absence.
b.
If you MUST miss an EXAM, you will need to make prior
arrangements or leave a message in case of unexpected illness or
emergency. If you do not call or email
me, you will not be allowed to make it up.
c.
Graded assignments are due at the beginning of class. Any late work will be penalized 10% per
day. No work will be accepted after
graded assignments are handed back.
Grading:
Your grade is
based upon the following:
20% Graded
Homework, Projects, In-class Worksheets and Participation
60% In-class
Exams (10% each)
20% Final
Exam (Comprenhensive)
Grade
points:
|
Percentage Score |
Decimal Grade |
Letter Grade |
|
94%-100% |
3.9-4.0 |
A |
|
90%-93% |
3.5-3.8 |
A- |
|
87%-89% |
3.2-3.4 |
B+ |
|
84%-86% |
2.9-3.1 |
B |
|
80%-83% |
2.5-2.8 |
B- |
|
77%-79% |
2.2-2.4 |
C+ |
|
74%-76% |
1.9-2.1 |
C |
|
70%-73% |
1.5-1.8 |
C- |
|
67%-69% |
1.2-1.4 |
D+ |
|
64%-66% |
0.9-1.1 |
D |
|
60%-63% |
0.7-0.8 |
D- |
|
0%-59% |
0.0 |
F |
No grade
points will be given except
those listed above. Students who quit
coming to class and do not officially withdraw through the registration office
will receive an F for the course. I do
not assign WP or WF grades.
Disclaimer: Please be aware that certain aspects of the course may be modified in
order to meet the needs of the class.
How to succeed in this class:
· You will need to do the homework that I assign. Learning any math takes practice and there is no better practice than working through the assigned problems.
· You should ask questions, especially when you are struggling. Feel free to blurt out questions during lecture.
· Read the book, whenever you can. It will answer a lot of your questions and help you understand the lecture.
· Dont get discouraged. I truly believe that anyone can learn high levels of math. It does take time though.
· Attend class. A big portion of your learning will happen in class. Also, good attendance shows me that you are putting forth effort.
Text: Stats: Data and Models (2nd edition)
|
Dates: |
Topics/Events: |
Suggested Homework: |
|
Week 1 M 1/7 F 1/11 |
Introduction Chapters 1-4 |
Ch 2: 5,11,15,21,25 able use technology to complete it |
|
Week 2 M 1/14 F 1/18 |
Chapters
5,6 Part I Exam, Friday |
Ch 5:
5,7,9,13,15,17,21,23,27,29,35,37 Ch 6:
1,3,7,9,13,18,21,23,29,31,33,37,39,41,43,47,49 |
|
Week 3 T 1/22 F 1/25 |
Chapters
7-9 |
Ch 7:
5,9,11,15,17,19,21,25,33,35 |
|
Week 4 M 1/28 F 2/1 |
Chapter
10 Part II Exam, Wed. Chapter 11 |
Ch 10:
1,5,15,23 Ch |
|
Week 5 M 2/4 F 2/8 |
Chapters 12,13 Part III Exam, Friday |
Ch 12:
3,5,9,15; you are only required to read pages 287 through 297 |
|
Week 6 M 2/11 F 2/15 |
Chapters 14,15 Part IV Exam, Friday |
Ch 14:
1,11,13,15,19,25,29 |
|
Week 7 T 2/19 F 2/22 |
Chapters 18-20 |
Ch 18:
1,3,5,9,11,17,25,33,35 |
|
Week 8 M 2/25 F 2/29 |
Chapters 21,22 |
Ch 21: 1,3,5,7,9,17,27 |
|
Week 9 M 3/3 F 3/7 |
Part V Exam, Tuesaday Chapter 23 |
Ch 23:
1,9,13,15,17,31(skip problems where the calculation of a p-value is
requested) |
|
Week 10 M 3/10 F 3/14 |
Chapters 24,25 Part VI Exam, Thursday |
Ch 24:
1,5 |
|
Week 11 M 3/17 |
Final Review-Monday Final Exam-Wednesday ( |
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