When working with MacAnova, you should use these specially prepared data sets rather than the data sets on the CD ROM which comes with thes book. They are designed to be read by MacAnova command readdata(). Type help(readdata) for information about these commands or see An Introduction to MacAnova.

Other data sets (updated 2/07/03)
Besides the Moore and McCabe data sets, I will from time to time post other data sets on the data download page. These may be data sets used as examples in lecture or to be analyzed as part of homework.

Windows: File names that end in .zip are archive files, containing multiple files in a specially coded form. They can not be read directly by a word processor. On most Windows computers is a utility program called WinZip which is designed to decode Zip files. It can also create them, if that's what you want.

There is also a freeware program Aladdin Expander which can decode Zip files as well as many other specially coded files.

You should download IPS4Data.zip using the right button on your mouse. Then you need to run either WinZip or Aladdin Expander to decode the files.

Macintosh: Files whose names ending .sit are Stuffit archive files. Most Macintoshes come equiped with Stuffit Expander which can unpack these files. Both Netscape and Explorer are usually configured automatically to use the freeware program Stuffit Expander to unpack sit files as they are download. If not, you can just to Drag and Drop the downloaded file on the Stuffit Expander icon.

MacAnova Macro Files for Stat 5021

I will post here links to any new macro files that will be helpful to you in doing homework.

Cmd> addmacrofile(getfilename()) # find runs.mac or runs.mac.txt

Cmd> x <- vector(1,1,3,3,3,3,2,2,1,2,1,1,1,1,1,3,3)

Cmd> lengths <- runs(x); lengths
WARNING: searching for unrecognized macro runs near lengths <- runs(
(1)           2           4           2           1           1
(6)           5           2

Cmd> max(lengths) # longest run
(1)           5

Cmd> addmacrofile(getfilename()) # find and attach catdata.mac

Cmd> x <- 22; n <- 42 # observed count and number of trials

Cmd> binomlimits(x,n,.95) # traditional limits (Wald)
WARNING: searching for unrecognized macro binomlimits near 
binomlimits(
(1)     0.37277     0.67485

Cmd> binomlimits(x,n,.95,"wilson")
(1)     0.37739     0.66609	

Cmd> binomlimits(x,n,.95,"exact") # "exact limits", always conservative
(1)     0.36418     0.67996

Cmd> binomlimits(x,n,.95,"score") # close to exact
(1)     0.37722      0.6664

Cmd> addmacrofile("") # find meansanova()

Cmd> xbar <- vector(41.0454545, 46.7272727, 44.2727273)

Cmd> sd <- vector(5.6355781, 7.3884196, 5.7667505)

Cmd> meansanova(xbar,sd,n,fstat:T)
Model used is @Y=@GROUPS
                DF          SS          MS           F     P-value
CONSTANT         1  1.2786e+05  1.2786e+05  3207.18687     < 1e-08
GROUPS           2       357.3      178.65     4.48108    0.015151
ERROR1          63      2511.7      39.868
	

Cmd> SS
    CONSTANT      GROUPS      ERROR1
  1.2786e+05       357.3      2511.7

Cmd> DF
    CONSTANT      GROUPS      ERROR1
           1           2          63

Cmd> secoefs(GROUPS)
component: coefs
(1)     -2.9697      2.7121     0.25758
component: se
(1)      1.0991      1.0991      1.0991

Cmd> RESIDUALS
UNDEFINED
	

The two links for each file are to identical files. Some browsers have difficulty with file names that end in .mac. If you have such a problem, use the second link.

Take a look at instructions on how to set up MacAnova to use a macro file.

Frequently asked questions about MacAnova use

Any questions about MacAnova that are of general interest I will add to a list of Frequently Asked Questions About MacAnova.

Distribution of Final Examination Scores

Here is a stemplot of the final exam scores (out of 170 possible points)

n=27, Min=23, Q1=92.5, M=120, Q3=134, Max=157
    1     2|3
    2     3|8
    2     4|
    2     5|
    3     6|8
    4     7|0
    5     8|9
    8     9|123
    9    10|1
   13    11|5677
  ( 5)   12|00788
    9    13|026
    6    14|147
    3    15|377

          1|1 represents 11  Leaf digit unit = 1

Handouts and examples

I will put links to any handouts here. Some may be available only in PDF format.

• Example of the use of Macanova (PDF file)
• Macros for drawing densities of standard distributions (PDF file)
• MacAnova Regression Example (PDF File)
• MacAnova Notes on ANOVA (PDF file, New 5/2/03)

Sample Exams

• Sample first Midterm exam (with solutions) (PDF files)
• Sample second Midterm exam (with solutions) (PDF files)
• Sample Final Exam (with solutions New, PDF file)

DOWNLOAD MacAnova

• Macintosh Version
  Installation Instructions
• Windows 95/98/NT/XP and DOS Versions
  Installation Instructions
• Source files for all versions
• MacAnova Home Page