2009 Biostat 510 Homework
Assignments and the accompanying data sets can be found
here:
Homework 1
Due Tuesday, January 20th. The Excel files for homework
one can be found below:
homework1_2009.doc
This homework assignment asks you to import the Excel
files from each group, and combine them to make a single data set.
You also get some simple descriptive statistics and graphs.
homework1_key_for_web_2009.doc The key for homework 1.
Group1.xls
Group2.xlsx
Group3.xls
Group4.xls
Group5.xls
Group6.xls
Group7.xls
Group8.xls
Group9.xls
Group10.xls
Homework 2
Due Thursday, January 29th. The Excel file for homework
two can be found below:
homework2_2009.doc This homework assignment asks
you to import the Excel file containing birthdate information, merge it
with the b510.allgroups dataset from homework 1, create some new
variables, and carry out some t-tests.
homework2_key_for_web_2009.doc This is the key for
homework 2.
Birthdate.xls
allgroups.sas7bdat
This is the SAS dataset from homework 1, so you can combine
it with the birthdate data from this homework.
Homework 3
Due Thursday, February 12th.
homework3_2009.doc This homework assignment asks
you to carry out some independent samples t-tests, paired-samples
t-tests, and one-sample t-tests. You also carry out a simple linear
regression with a continuous X predictor, and a dummy variable
regression.
homework3_key_for_web_2009.doc This homework
assignment asks you to carry out some independent samples t-tests,
paired-samples t-tests, and one-sample t-tests. You also carry out a
simple linear regression with a continuous X predictor, and a dummy
variable regression.
allcases.sas7bdat
SAS dataset created for homework 2, and used as the dataset
for homework 3.
Homework 4
Due Thursday, March 5th.
homework4_2009.doc This homework assignment asks
you to produce a correlation matrix, scatterplot matrix, fit simple
linear regression modelss, multiple linear regression models, and a
oneway ANOVA model.
homework4_key_2009_for_web.doc Key for Homework 4.
Residual_plots_explanation.doc This is an excerpt
from an email sent to explain a bit about the residuals that are created
for a regression model.
AFIFI.DAT
raw data file to read in for homework 4.
Homework 5
Due Tuesday, March 17th.
homework5_2009.doc This homework assignment asks
you to create some cross-tabs for independent data, and also for
paired data, and to fit some logistic regression models, using both
categorical and continuous predictors.
homework5_key_for_web_2009.doc
afifi.sas7bdat
SAS data set to use for homework 5.
Homework 6
Due Thursday, March 26th. The Excel files for homework
six can be found below:
Homework6_2009.doc
This homework assignment asks you to import the Excel files
below, and merge them to create one stacked dataset. Then, you are asked
to get some descriptive statistics, create some graphs, and carry out
independent samples t-tests, paired t-test and a one-sample t-test.
Homework6_key_for_web_2009.doc
This is the key for homework 6.
Group1.xls
Group2.xls
Group3.xls
Group4.xls
Group5.xls
Group6.xls
Group7.xls
Group8.xls
Group9.xls
Group10.xls
Homework 7
Due Thursday, April 2nd, 2009.
homework7_2009.doc This homework asks you to read
in raw data, create some new variables, and fit a simple linear
regression model, a multiple linear regression model, and a oneway ANOVA
model.
homework7_key_for_web2009.doc This is the key for
homework 7.
AFIFI.DAT
The raw data file to read in for homework 7.
Homework 8
Due Thursday, April 9th, 2009.
homework8_2009.doc This homework assignment asks
you to produce cross-tabulations, and carry out chi-square tests of
independence for unmatched data. You are also asked to fit several
logistic regression models with continuous and categorical predictors.
There is also a problem where you are asked to compare the proportions
for matched data, using McNemar's test of symmetry.
homework8_key_for_web_2009.doc The key for homework
8.
afifi.sav
SPSS data file to use for homework 8. To get the data
into SPSS, go to File...Open...Data. You may use your own version of this
dataset for the homework, if you wish.