STA 6167 Course Information Spring 2006
Instructor: Office: Telephone: e-mail Office Hours: Grad. TA Office: Telephone: Email Office Hours: Class Time: Class Room: Text: Topics:
Ramon C. Littell 404 McCarty C 392-3040 littell@ufl.edu 9:00-11:00 Wednesday
STA 6167 Exam 3 Spring 2013 PRINT Name _
Conduct all tests at = 0.05 significance level.
Q.1. A study was conducted to compare Y=Average Daily Weight Gain (Kg) under 2 Grazing Conditions (Z=1 if
Continuous, 0 if Rotated), adjusting for a Covariate X = Sto
STA 6167 Spring 2011 Exam 3 PRINT Name _
Conduct all tests at = 0.05 significance level.
Q.1. A study considered the relationship between number of matings (Y) and age (X) among n=41 African elephants. The
researchers considered 3 Poisson Regression model
STA 6167 Exam 2 Spring 2009
PRINT Name _
Part 1. A study was conducted to measure the effects of age and motorcycle riding on the
incidence of erectile dysfunction (ED). Men were classified by age (20-29,30-39,4049,and 50-59), where the midpoints (25,35,4
STA 6167 Exam 3 Spring 2015 PRINT Name _
Conduct all tests at = 0.05 significance level.
Q.1. A series of Poisson Regression models were fit to relate number of new products developed (Y), to 3 sets of predictor variables.
Control Variables included were:
Linear Regression Problems
Q.1. A multiple regression model is fit relating a response Y to 4 predictors: X1, X2, X3, X4. We fit
2 models (each based on a sample of n=20 cases):
i ) E[Y ] 0 1 X 1 2 X 2 3 X 3 4 X 4
ii ) E[Y ] 0 1 X 1 2 X 2
For model i), th
STA 6167 Exam 1 Spring 2013 PRINT Name _
For all significance tests, use = 0.05 significance level.
Q.1. A study is conducted to compare r = 4 styles on comfort ratings for truck drivers on long trips. A sample of 40 truck
drivers is obtained, and randoml
STA 6167 Exam 2 Spring 2011
PRINT Name _
Note: Conduct all individual tests at =0.05 significance level, and all multiple
comparisons at an experiment-wise error rate of E = 0.05.
Q.1. An experiment is conducted to determine the effects of 3 ripening sta
STA 6167 Exam 1 Spring 2011 PRINT Name _
Part 1: Degrees of Freedom in the Analysis of Variance
Q.1. A linear regression model is fit, relating breaking strength of steel bars to thickness, length, and material
type with 3 nominal levels (no interaction t
STA 6167 Exam 3 Spring 2012 PRINT Name _
Conduct all tests at = 0.05 significance level.
Q.1. A study was conducted to relate incidence of West Nile virus in horses among the counties of South Carolina. The dependent
variable was the number of cases of We
STA 6167 Exam 1 Spring 2014 PRINT Name _
For all significance tests, use = 0.05 significance level.
Q.1. A simple linear regression was fit relating number of species of arctic flora observed (Y) and July mean temperature
(X, in Celsius). The results of t
STA 6167 Exam 2 Spring 2015 PRINT Name _
For all significance tests, use = 0.05 significance level.
Q.1. A split-plot experiment was conducted, comparing 4 coagulant treatments of camel chymosin (HBCC, LBCC, HCC,
LCC) and age (4 levels) on Y = strand thic
STA 6167 Exam 2 Spring 2014 PRINT Name _
For all significance tests, use = 0.05 significance level.
Q.1 A study was conducted to compare 3 speed reduction marking (SRM) conditions on drivers acceleration in an
automobile simulator. A sample of 15 drivers
STA 6167 Final Exam Topics
Bring t/ 2/F table
Repeated Measures ANOVA
o ANOVA, F-tests
o Comparison of Treatment Means
o Comparison of Time means
o Interaction Means (Treatments at different time points)
Analysis of Covariance
o Regression Models with and
Analysis of Covariance Problems
Q.1. A study is conducted to compare the effects of 5 methods of practicing to play the trombone among
college band trombone players. A sample of 30 trombone players is obtained, 6 are assigned at random to
each of the 5 me
STA 6167 Exam 1 Spring 2015 PRINT Name _
For all significance tests, use = 0.05 significance level.
Q.1. A study considered failure times of tools (Y, in minutes) for n=24 tools. Variables used to predict Y were:
cutting Speed (X1 feet/minute), feed rate
Logistic, Poisson, and Nonlinear Regression Problems
Logistic Regression
QA.1. A study is conducted to measure the effects of levels of a herbicide on the probability of death for 2
weed varieties. The researcher selects 5 dosage levels, and assigns each
Linear Regression Problems
Q.1. A multiple regression model is fit relating a response Y to 4 predictors: X1, X2, X3, X4. We fit
2 models (each based on a sample of n=20 cases):
i) E[Y ] 0 1 X 1 2 X 2 3 X 3 4 X 4
ii ) E[Y ] 0 1 X 1 2 X 2
For model i), the
STA 6167 Section 1F80
Statistical Methods in research ii
Spring 2016
Tu 2-3, th 3 @ Griffin/Floyd 100
Instructor: Dr. Larry Winner
Office: 228 Griffin/Floyd
Phone: 273-2995
E-Mail: winner@stat.ufl.edu (not to be used for technical explanations)
Office Hou
Logistic, Poisson, and Nonlinear Regression Problems
Logistic Regression
QA.1. A study is conducted to measure the effects of levels of a herbicide on the probability of death for 2
weed varieties. The researcher selects 5 dosage levels, and assigns each
Exam 1 Topics Spring 2016
Bring the following Table: t/chi-square/F
Multiple Linear Regression
Partial Regression Coefficients, Fitted Equation
Analysis of Variance, Coefficient of Determination
F-test, t-tests, Complete versus Reduced Tests
Models with D
STA 6167 Exam 2 Spring 2008 PRINT Name _
A study is conducted to measure the relationship between breaking strength of concrete (Y) and
the amounts of 2 key ingredients: A (X1) and B (X2). The relationship is believed to be nonlinear,
and of the form:
. T