QUANTITATIVE REASONING IN THE
GEOSCIENCES
GEO 138 – Fall 2005 MC-QR 3 F,S
Catalog Course Description
Introduction to modern
techniques used to visualize and analyze quantitative data in the geosciences.
Prerequisites
MAT 111 or 120 or 130 or 145,
or cons inst req. May not be taken under
the CT/NC option. Not for cr if had ECO
138, POL 138, PSY 138, or MQM 100.
The objective of this course will be to introduce you to basic
statistical procedures and methodologies used by geographers. Data and the use of statistics is all
around us on television, in the newspapers, magazines, and on the radio. Maybe we do not realize it, but we all
routinely use it everyday. After you have
completed this class, you will not only be better equipped to objectively
evaluate statistical conclusions presented by the media, but you will also be
able to effectively collect and analyze quantitative information by yourself.
Instructor: Dr. Dagmar Budikova
Class Time: MWF 11:00-11:50 am in
MLT 210
Office: Felmley Hall Annex 430
E-Mail: dbudiko@ilstu.edu
Course WebCT: https://webct.ilstu.edu
Structure of Class
The class will
meet three times each week, 50 minutes at a time for three lectures. Lecture time has been designed to present new
material and illustrate it with several examples. Each lecture will be initiated with a
'question' session. During this time,
you have the opportunity to raise any problems that you may have come across in
your reading and/or assigned exercises.
Required textbook and other
materials
1. Moore, D. S.
The Basic Practice of Statistics, 3rd Edition, W.
H. Freeman and Company,
2. Calculator.
Classroom
Expectations
Material presented in this course is 'cumulative', which means that
what we learn on Monday will be important to understand material presented on
Wednesday and in all lectures to follow.
For this reason, it is important that you attend classes at all times,
and as a result, I make attendance MANDATORY.
Notice that a portion of your grade will be placed on your attendance.
Assignments and Evaluation
The total grade of 100% will be divided in the following manner:
Test #1 – Wednesday, September 21, 2005 15%
Test #2 – Wednesday, October 26, 2005 20%
Final Examination - Cumulative 25%
5 Homework Exercises 20%
8 Quizzes 10%
Attendance/Participation (5 instances) 10%
The grading scale unless otherwise stated:
³ 90 = A;
³ 80 = B; ³ 70 = C;
³ 60 = D; < 60 = F
All tests will be in a multiple choice
question format. They will be 50 minutes
in length each. Each test will include
material covered during class. For
details see class schedule below.
The final exam
will be cumulative. It has been scheduled during the final exam
period.
Each Monday, you will be assigned
homework. During the following
week, I will collect this homework from all students but choose only a half for
grading. At the end of the semester,
each of you will have five (5) graded homework assignments that will count
towards your final grade. Late penalty
for homework: 20% per day, unless I am provided with a legitimate reason.
Quizzes will be
given at the beginning of class, 10 in total.
Results from eight best quizzes will be counted towards the final grade.
Quizzes cannot be made up. Each quiz will consist of material covered during
the previous week. See syllabus schedule
below for details.
Attendance in this
class is mandatory, and will be taken 5 times during the semester, at
random. Note that each time you miss a class
when attendance will be taken, will cost you 2% off your final grade. This can mean the difference between an A and
B.
Class Schedule and Content
|
Week of |
Lecture Content |
|
Quizzes (Wed) |
Hwrk Deadline |
|
Aug 22nd |
Why study statistics;
class introduction; examining distributions using graphs – Histograms,
stemplots |
|
No quiz |
|
|
Aug 29th |
Describing
distributions with numbers; center, spread, median, mean, standard deviation,
quartiles, box plots, five-number summary |
|
Quiz #1 |
|
|
Sep 5th |
No Classes – Monday – Labor Day Normal
distributions; density curves; 68-95-99.7 rule; Standard normal
distribution; normal distribution calculations |
|
Quiz #2 |
HW #1 |
|
Sep 12th |
Examining
relationships; scatter plots; correlation |
|
Quiz #3 |
HW #2 |
|
Sep 19th |
Least-squares
regression; residuals; outliers; influential points, lurking variables |
|
TEST #1 |
|
|
Sep 26th |
Sampling |
|
Quiz #4 |
HW #3 |
|
Oct 3rd |
Sampling
distributions; law of large numbers; central limit theorem |
|
Quiz #5 |
HW #4 |
|
Oct 10th |
Confidence
intervals; statistical inference; confidence interval for the mean |
|
Quiz #6 |
HW #5 |
|
Oct 17th |
How confidence
intervals behave; choosing a sample size; assumptions of
confidence interval calculations |
|
|
|
|
Oct 24th |
Tests of
significance |
|
TEST #2 |
|
|
Oct 31st |
Tests of
significance continued |
|
Quiz #7 |
HW #6 |
|
Nov 7th |
Inference in
practice |
|
Quiz #8 |
HW #7 |
|
Nov 14th |
Inference about
population mean |
|
Quiz #9 |
HW #8 |
|
Nov 21st |
Thanksgiving |
|||
|
Nov 28th |
Inference about
population mean – 2-sample problems |
|
Course evals Quiz
#10 |
HW #9 |
|
Dec 5th |
Inference about
population mean – 2-sample problems continued |
|
Final Exam
Review |
HW #10 |
Note: Any part of this syllabus is subject to modifications,
which will be announced in class.