PRASANNA VENKATESH RAJARAMAN
A set of random numbers
THE RANDOMIZATION TEST
Oct 16 2015
Review randomization model
Conduct randomization test
What about CIs?
Using a t-distribution as an
approximation to the randomization
ASSUMPTIONS, OUTLIERS & LOG
Oct 21 2015
We are going to do a two sample t-test.
Put these datasets in order from:
I would be very worried about the Normality assumption to
I would not be worrie
ASSUMPTIONS OF THE T-TOOLS
Oct 19 2015
Quiz #2 this weekend.
Same format, same timing.
Study guide posted.
You have been assigned a Participation Number in canvas grades:
Oct 27 2014
Sometimes assumptions can be met by
transforming the data.
A particularly useful transformation is the
Useful, when variation increases
Oct 30 2015
Researchers are interested in the eect of using a bike for
transport to the grocery store on the amount people spend
at the store for people in Corvallis.
COMPARISON OF MANY GROUPS
Nov 2 2015
Chapter 5 Sleuth
So far we have only looked at two groups, now
we'll look at multiple groups.
In this chapter two big questions:
1. How can we compare two
EXTRA SS F-TEST
Nov 6 2015
Today noon - Monday noon
Same format, two sections, 30mins
Short answer you need to be able to
The ANOVA table
a convenient way to lay the calculations ou
ALTERNATIVES TO THE T-TOOLS
Oct 26 2015
Two independent samples
Two sample t-test
Wilcoxon Rank Sum
Doesn't assume Normality and is resistant to outliers
SOME OTHER TWO SAMPLE PROCEDURES
Oct 28 2015
Fill in the column for Wilcoxon Rank
Sum on the test summary
worksheet (posted on web).
Wilcoxon Rank Sum
Wilcoxon Rank Sum test
ONE WAY ANOVA
Nov 4 2015
Summary from Weds
Comparing two groups
A single comparison of two group means
When you have multiple groups:
Do the usual two-sample t-test but,
use all groups to get the pooled
Nov 9 2015
DA #1 followup
Population inference to all opposite sex married
couple households in Oregon.
(Response rates for ACS ~ 97.9%)
No causal inference.
Gender was not randomly as
ST 411/511 Fall 2016 Outline 3
Reading assignment: Chapter 3. This chapter explores the consequences of violation
the assumptions of t-tests.
Chapter 3 Assumptions of the t-Tools
Three assumptions needed for t-test and t confidence interval:
Case Study 3.
ST 411/511 Fall 2016 Outline 2
Reading assignment: Chapter 2. This chapter reviews the details of one- and twosample t-tests.
Chapter 2 Inference Using t-Distributions
Case Study 2.1.2 Twin study. How big is the difference in volumes of left hippocampus
Oct 12 2015
The two sample model
The two sample t-test and CI
When sampling isnt random
Two sample sampling model
Every member has
associated with it,
THE ONE SAMPLE T-TEST
Oct 2 2015
We dont know the population SD,
Z -> t
A little bit of R
Hypothesis testing & p-values
from last time
Population inference is using a sample to learn
MORE ON THE RANDOM SAMPLING MODEL
Sep 29 2015
My oce hours:
Mondays 11am 255 Weniger
Thursdays 3-5pm 3003 Cordley
Help with Statistics Classes
Kidder M111, Fall Term 2015
Students in ST 201,
A Strategic Framework for
Spare Parts Logistics
Stephan M. Wagner
Andreas B. Eisingerich
Strategically aligned and efficiently implemented spare parts logistics can differentiate a business from its
competitors, lower costs, increase revenues,
Proceedings of the World Congress on Engineering 2011 Vol II
WCE 2011, July 6 - 8, 2011, London, U.K.
Determining Weights in Multi-Objective Linear
Programming under Fuzziness
Gulcin Dinc Yalcin, Nihal Erginel
AbstractThis study presents a method to deter
OR Spectrum (2013) 35:905933
A multi-objective robust stochastic programming model
for disaster relief logistics under uncertainty
Ali Bozorgi-Amiri M. S. Jabalameli
S. M. J. Mirzapour Al-e-Hashem
PAIRED T-TEST & TWO SAMPLE MODEL
Oct 5 2015
Three ways to run code
Code -> Run lines (crtl + enter (windows), + return (mac)
run selected lines in current R session
Code -> Source document
Oct 5 2015
Study guide posted on class website.
Opens noon Friday, closes noon Monday.
Multiple Choice - 30 mins
Short Answer - 30 mins
Sample quiz posted on can
Oct 14th 2015
Finish up last time.
An example from Sleuth.
Two sample t-test in R
> t.test(city_mpg ~ trans, data = mpg_sample,
var.equal = TRUE)
Two Sample t-test
INFERENCE IN THE SAMPLING MODEL
Sep 28 2015
A recap of statistical inference in the
random sampling model
Wednesday: paired t-test
What terms did you highlight?