2-Sample t-test Independent Samples
Dataset: Cloud Seeding Experiment
Dependent Variable: Rain-gage Depth (mm) of rainfall in cloud-seeded test area
Independent Variable: Seeded/Not seeded on that day
Design & Analysis of Split-Plot
Experiments (Univariate Analysis)
Elements of Split-Plot Designs
Split-Plot Experiment: Factorial design with at least 2
factors, where experimental units wrt factors
Year
Horse
2007 Rags to Riches
2006 Jazil
2005 Afleet Alex
2004 Birdstone
2003 Empire Maker
2002 Sarava
2001 Point Given
2000 Commendable
1999 Lemon Drop Kid
1998 Victory Gallop
1997 Touch Gold
1996 E
Overview of How To Lie With
Statistics by Darrell Huff
With additional insights
Chapter 1 - Sampling Biases
Response Bias: Tendency for people to over- or
under-state the truth
Non-response: People
Univariate Split-Plot Analysis
2003 LPGA Data
Background Information
6 Golfers (Treated as only 6 of interest Fixed)
8 Tournaments (Treated as random sample of all
possible tournaments)
4 Rounds pe
Topics in Data Management
SAS Data Step
Combining Data Sets I - SET Statement
Data available on common variables from different
sources. Multiple datasets with common variable
names, possibly differe
Golfer
Beth Daniel
Candie Kung
Grace Park
Karrie Webb
Lorena Ochoa
Se Ri Pak
Beth Daniel
Candie Kung
Grace Park
Karrie Webb
Lorena Ochoa
Se Ri Pak
Beth Daniel
Candie Kung
Grace Park
Karrie Webb
Lorena
Comparison of 4 Diets
Dansinger, et al (2005). Comparison of
Atkins, Ornish, Weight Watchers and Zone
Diets for Weight Loss and Heart Disease Risk
Reduction, JAMA. 293:43-53
Setting
Started with 1010
Repeated Measures ANOVA
Univariate Approach
Setting
a Treatments/Conditions to compare
N subjects to be included in study (each subject
will receive only one treatment)
n subjects receive trt i: an