Stat 381 (16425)
Applied Statistical Methods I
Summer Semester 2009
Last update: 07/27/2009
· Course Announcement
Time: MWF 10:00 a.m. - 11:40 a.m.
Location: Adams
Hall 302
Instructor: Troy Hernandez
Office: SEO 719
Phone: (312) 413-9565
E-Mail: therna4@uic.edu
Office Hours: MWF 12:00 p.m. - 1:00 p.m.
Materials: Applied
Statistics for Engineers and Physical Scientists, 3rd Edtion, J. Ledolter and R. V. Hogg
Content: Graphical and tabular representation of data; Introduction to
probability, random variables, sampling distributions, estimation, confidence
intervals, and tests of hypotheses. Includes R applications.
Prerequisite: Grade of C or better in MATH 210.
Grading: Final - 40%, Midterms (2) – 20%, Homework and quizzes
– 20%
A - 85%, B - 70%, C - 60%, D/F…
· Course Syllabus
|
WEEK |
SECTIONS |
BRIEF DESCRIPTION |
|
06/15 – 06/19 |
1.1-1.5 |
Overview and descriptive statistics; Graphical statistics |
|
06/22 - 06/26 |
1.7-2.3 |
Statistical software and probability; Conditional probability and independence |
|
06/29 – 07/03 |
2.3-2.4; Review; Midterm 1 |
Random variables and expectations |
|
07/06 – 07/10 |
2.4-3.1 |
Binomial and Poisson distributions; Multivariate discrete r.v.'s; continuous r.v.'s |
|
07/13 - 07/17 |
3.2-3.3; 3.5 |
Normal and other continuous r.v.'s; Multivariate continuous r.v.'s |
|
07/20 - 07/24 |
Review; Midterm 2; 4.1-4.2 |
Sampling distribution and confidence intervals |
|
07/27 - 07/31 |
4.3-4.6 |
Confidence intervals; Hypothesis testing |
|
08/03 - 08/07 |
2.7 and more; Final Exam |
Point estimtation |
· Handouts
o
Correlation
Coefficient
o
Midterm
1 Sample
o
Midterm
2 Sample Solutions
· Homework
o
Homework
#1, due 06/19/2009
o
Homework
#2, due 06/26/2009
o
Homework
#3, due 07/10/2009
o
Homework
#4, due 07/17/2009
o
Homework
#5, due 07/27/2009
o
Homework
#6, due 07/31/2009
o
Homework
#7, due 08/5/2009
· Various
o Solutions #1
o NIST handbook
- Using R
· Download R for Free -- the most popular software used by statisticians
· Learn R in 15 Minutes, by Jie Yang
· Use R to Compute Numerical Integrals, by Jie Yang
· Downloadable Books on R:
o An Introduction to R, by William N. Venables, David M. Smith and the R Development Core Team
o Using R for Data Analysis and Graphics - Introduction, Code and Commentary, by John H. Maindonald
o Practical Regression and ANOVA using R, by Julian J. Faraway
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