STAT 500
Summer 2015
Dr. Durland Shumway
319 Thomas Building
(814) 865-3541
Office hours (by appointment)
STAT 500 Applied Statistics (3): Descriptive statistics, hypothesis testing, power
estimation, confidence intervals, regression, one way ANOVA, chi square tests,
diagnostics. Prerequisite: one undergraduate course in statistics.
Overview
This course provides an introduction to the basic concepts of probability,
common distributions, statistical methods, and data analysis. It is intended for
graduate students who have one undergraduate statistics course and who wish
to review the fundamental concepts before taking additional 500 level statistics
courses.
Course Objectives
Upon completion of this course you will:
Appreciate and understand the role of statistics in your field
Develop an ability to apply appropriate statistical methods to summarize
and analyze data for some of the more routine experimental
settings
Make sense of data and able to report the results in appropriate table or
statistical terms for inclusion in your thesis or paper
Interpret results from various computer packages and be able to use
Minitab to perform appropriate statistical techniques.
Required Text
“An introduction to Statistical Methods and Data Analysis”. R. Lyman Ott and
Michael Longnecker (7th Edition)
Course Requirements
Homework
There will be 6 homework assignments. Homeworks will be due by 9:00 p.m
EST Sunday evening (with the exception of the last homework which will be due
before class on Thursday). Any homework submitted after class will be a zero
but the lowest score will be dropped. NO late assignments will be accepted
unless approved ONE WEEK PRIOR to the deadline.
Labs
Labs will be assigned each week to practice the material learned in lecture. Labs
will be completed on your own. Labs will be graded on a zero OR 100 scale.
The purpose of the labs is to allow you to practice the material and learn how to
apply the material. This is not an assignment to test your mastery of the
material. Labs will be due by 9:00 p.m. EST Sunday, with the exception of Lab 6
which will be due Thursday before class.
Midterms (Quizzes)
There are 5 weekly quizzes which will be completed on your own. I highly
recommend using a Penn State computer lab to avoid any “connectivity” issues
that might arise (please note I am not responsible for technical difficulties if you
are off campus). The quizzes will be conducted through ANGEL. These quizzes
must be completed by 9:00 p.m. EST Sunday evening.
Final Exam
There will be one final exam, Thursday 6/26. I WILL NOT MOVE THE FINAL,
NOR WILL I ACCOMMODATE TRAVEL CONFLICTS. Plan on being on campus
the entire duration of the course.
Grading
Homework
Lab
Midterm
Final
30%
10%
40%
20%
Grades will be based on the following scale:
A
AB+
B
B
C+
C
D
93
90
88
83
80
78
70
60
I ONLY answer emails sent to my ANGEL account. If you contact me outside
ANGEL, I will NOT respond.
Help
We will have a grader for the course who will offer office hours, as well as my
personal office hours. Appointments can also be made if you have conflicts with
my office hours.
Academic Integrity
All Penn State policies regarding ethics and honorable behavior apply to this
course (see links below for policy statements). Academic integrity is the pursuit of
scholarly activity free from fraud and deception and is an educational objective of
this institution. All University policies regarding academic integrity apply to this
course.
Academic dishonesty includes, but is not limited to, cheating, plagiarizing,
fabricating of information or citations, facilitating acts of academic dishonesty by
others, having unauthorized possession of examinations, submitting work of
another person or work previously used without informing the instructor, or
tampering with the academic work of other students. For any material or ideas
obtained from other sources, such as the text or things you see on the web, in
the library, etc., a source reference must be given. Direct quotes from any source
must be identified as such. All exam answers must be your own, and you must
not provide any assistance to other students during exams.
Any instances of academic dishonesty WILL be pursued under the University and
Eberly College of Science regulations concerning academic integrity.
Tentative Schedule (subject to change):
week 1
week 2
week 3
week 4
week 5
week 6
Topic
Gathering and
graphing data,
measures of
central tendency,
variability
Probability,
probability
distributions,
binomial and
normal
distributions
Sampling
distribution,
Confidence
intervals for
proportions
CI for mean,
sample size,
hypothesis
testing, p values
Rejection region,
two sided tests,
power, two
sample tests
Comparing
variances,
ANOVA chi
square, two
proportions,
regression,
correlation,
Readings
on-line lessons
1,2, 3.1,3.3-3.6
1&2
4.1-4.4, 4.6,4.7-4.10
3&4
4.10, 4.11, 4.12, 5.1, 10.1, 10.2
5&6
5.2-5.4, 5.6, 5.7, 10.2
7&8
5.4, 5.5, 5.7, 10.3, 6.1, 6.2, 6.4,8.1-8.4,
10.6, 7.3, 11.1-11.4, 11.7,
9,10,13
11&12