Homework Assignment for STA402: Data Analysis using SAS/GRAPH - Prof. A. John Bailer, Assignments of Statistics

A homework assignment for the statistics and data analysis course, sta402, due on october 3, 2005. The assignment includes instructions for creating various types of graphs using sas/graph software, such as boxplots, data points with mean and standard deviation segments, and horizontal bar charts. The examples provided are based on the 'log-bacterial growth study' and 'nitrofen data'. Students are expected to use sas/graph directly to generate the figures without using proc reg for fitting models first.

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Pre 2010

Uploaded on 08/18/2009

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Homework 5
Assigned: 26 September 2005
Due: 03 October 2005
C:\baileraj\Classes\Fall 2005\sta402\hw\Homework-05-24sep05.doc
1. Refer to the 4 group (packaging method)- log-bacterial growth study. In this exercise, you
will use SAS/GRAPH to construct figures displaying the means and standard deviations.
a. Construct a figure containing side-by-side boxplots using the INTERPOL=BOX option
associated with a SYMBOL statement used with PROC GPLOT.
b. Construct a figure with the data points plotted. Superimpose the mean plus/minus 2 std.
deviation segments on this plot.
c. Construct a horizontal bar chart with the end of the bar at the value of the mean with a 1 SD
whisker extending from this bar.
2. Refer to the nitrofen data. Generate a plot of the nitrofen data (sqrt total as response) vs.
concentration. Superimpose the fitted quadratic model. Only use GPLOT to generate this figure
– i.e. don’t use PROC REG to generate fits first, I want you to use the SYMBOL INTERPOL reg
options.
3. Refer to the nitrofen data. Fit a polynomial regression model (center the concentration
variable). Use ODS GRAPHICS to generate graphical summaries of this analysis
4. Find a data set that interests you and generate a display that best represents it using
SAS/GRAPH.

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Homework 5

Assigned: 26 September 2005 Due: 03 October 2005 C:\baileraj\Classes\Fall 2005\sta402\hw\Homework-05-24sep05.doc

  1. Refer to the 4 group (packaging method)- log-bacterial growth study. In this exercise, you will use SAS/GRAPH to construct figures displaying the means and standard deviations. a. Construct a figure containing side-by-side boxplots using the INTERPOL=BOX option associated with a SYMBOL statement used with PROC GPLOT. b. Construct a figure with the data points plotted. Superimpose the mean plus/minus 2 std. deviation segments on this plot. c. Construct a horizontal bar chart with the end of the bar at the value of the mean with a 1 SD whisker extending from this bar.
  2. Refer to the nitrofen data. Generate a plot of the nitrofen data (sqrt total as response) vs. concentration. Superimpose the fitted quadratic model. Only use GPLOT to generate this figure
  • i.e. don’t use PROC REG to generate fits first, I want you to use the SYMBOL INTERPOL reg options.
  1. Refer to the nitrofen data. Fit a polynomial regression model (center the concentration variable). Use ODS GRAPHICS to generate graphical summaries of this analysis
  2. Find a data set that interests you and generate a display that best represents it using SAS/GRAPH.