Department of Mathematics
Math 58.
Introduction to Statistics
Fall 2008
Course Outline
Time and Place: MW 2:45 pm – 4:00 pm Edmunds
114.
Instructor: Dr.
Adolfo J. Rumbos
Office: Andrew 259
Phone/e-mail: ext. 18713 /
Office Hours: MWF
9:15 am – 9:50 am or by appointment.
Text: Introduction to the Practice of Statistics, sixth
edition,
by David S. Moore and George P. McCabe.
Course
Description. Statistics may be defined as the art of
making decisions based on incomplete information or data. The process of making those decisions is
known as statistical inference. The
emphasis in this course will be on statistical inference; in particular,
estimation and hypothesis testing. There
are other aspects surrounding this process, such as sampling and exploratory
data analysis, which we will also touch upon in this course. We will also emphasize the acquisition of statistical reasoning skills. Thus, the main thrust of the course will not
be the mere application of formulae to bodies of data, but the reasoning
processes that accompany the involvement of statistics at the various stages of
real world statistical applications: from the formulation of questions and
hypotheses, experimental design, sampling and data collection, data analysis,
to the presentation of results. We will use a combination of lectures, discussions,
activities and problem sets which expose the students to the various issues
that arise in applications of statistical investigations.
Assigned
Grading
Policy. Grades will be based on the homework, two
50-minute examinations, four short papers or reports, plus a final exam. The overall score will be computed as
follows:
homework 15%
examinations 40%
four short papers 15%
final exam 30%
Math 58.
Introduction to Statistics Fall 2008
Tentative Schedule of Topics, Activities and Examinations
Date Topic
W Sep. 3 Activity
1: An age discrimination case?
Introduction
to statistical inference
M Sep. 8 Randomization tests: Introduction to R
W Sep. 10 Simulations and probability
M Sep. 15 Activity 2: Comparing two treatments
Introduction to
hypothesis testing
W Sep. 17 Probability and distributions
M Sep. 22 Activity
3: Cereal box
problem
Random variables and
expectations
W Sep. 24 Distributions
M Sep. 29 Activity 4: Estimating the size of a population: Capture/Recapture
Introduction to estimation
W Oct. 1 Activity
5: Estimating the size of a serially numbered population
Order statistics
M Oct. 6 Estimators
W Oct. 8 Point
estimates and interval estimates.
M Oct. 13 Review
W Oct. 15 Exam 1
M Oct. 20 Fall Recess.
W Oct. 22 Activity
6: Sampling words from a text.
Sampling issues
M Oct. 27 Sampling distributions
W Oct. 29 Activity
7: To be announced
M Nov. 3 Variables: parametric and
non-parametric
W Nov. 5 Association
between variables
M Nov. 10 Association
between variables (continued)
W Nov. 12 Regression
M Nov. 17 Analysis of
variance (ANOVA)
W Nov. 19 Activity 8: To be announced
M Nov. 24 Non-parametric
analysis
W Nov. 26 Activity 9: To be announced
M Dec. 1 Review
W Dec. 3 Exam 2
M Dec. 8 Review
W Dec. 10 Review
Th Dec. 18 Final Examination at 2:00 pm