Using StatXact

(and other software)

Chapter 3 of G&C
Here is an example for which Minitab was used to do the rank von Neumann test and the test based on the total number of binary runs. After the Minitab output I've added instructions on how to use StatXact to do the runs test, and added some results for tests based on runs up and down. (Here is data set used in the example linked to just above. The data is given on the bottom of p. 3-32 of the course notes.) (Here are the commands for some Minitab routines that I created many years ago (for a mainframe version of Minitab) and I use in some of my examples. Please note that I don't expect anyone to try to use Minitab to do anything this semester if you're not familiar with it. I just use Minitab in some of my examples to do some supplementary exploration of the data, and to do some computations for some methods that StatXact won't easily do. If I request that you do similar computations for any homework problems, the expectation is that you can use the description of the methods given in the text and the course notes to translate the Minitab commands and perform similar computations using R, Excel, or some other software.)
Chapter 4 of G&C
  1. Here is an example for which Minitab was used to do the approximate GLR and Pearson's chi-square goodness-of-fit tests, using the horse race data given on p. 4-8 of the class notes. After the Minitab output I've added instructions on how to use StatXact to do an exact version of Pearson's chi-square goodness-of-fit test, and also do a version of the K-S test (even though we don't have data from a continuous distribution).
  2. Here is an example for which Minitab was used to do the approximate GLR and Pearson's chi-square goodness-of-fit tests, using Rutherford and Geiger's radioactive decay data given on p. 4-17 of the class notes.
  3. Here is an example for which Minitab and tables were used to do the one-sample K-S test. After the Minitab output I've added instructions on how to use StatXact to do the test, and about how to use StatXact to help you do Lilliefors's test. (Here is data set used in the example linked to just above. The data is given on the top of p. 4-26 of the course notes, and also in Problem 4.18 on pp. 151 of G&C.)
  4. Here is an example for which Minitab and tables were used to do the one-sample K-S test. After the Minitab output I've added instructions on how to use StatXact to do the test, and also about how to use it to do Lilliefors's test and the Shapiro-Wilk test. (Here is data set used in the example linked to just above.) (Note: The example of the K-S test linked to above the link for this example (so the link to the example in 3 above) gives more details. So I encourage you to go through it first.)
Chapter 5 of G&C
Here is an example for which Minitab was used to do the t test, the sign test, and approximate versions of the signed-rank, one-sample normal scores, and one-sample permutation tests. After the Minitab output I've added instructions on how to use StatXact to do exact versions of all of these tests. (Here is data set used in the example linked to just above, and here are the signed normal scores needed to do the one-sample normal scores test in StatXact.)
Chapter 6 of G&C
Here is an example for which Minitab was used to do some of the nonparametric tests presented in Ch. 6. After the Minitab output I've added instructions on how to use StatXact to do exact versions of all of the tests presented in Ch. 6, except for the control median test (which StatXact does not include). (Here is data set used in the example linked to just above.)
Chapter 8 of G&C
Here are instructions on how to use StatXact to do exact versions of some of the tests presented in Ch. 8 (and also some similar tests not covered in G&C's Ch. 8). Here is data set used, which is the same data as was used for the Ch. 6 example above.
Chapter 9 of G&C
Here are instructions on how to use StatXact to do exact versions of some of the tests presented in Ch. 9 (and also a similar test not covered in G&C's Ch. 9). Here is data set used, which is the same data as was used for the Ch. 6 example above.
Chapter 10 of G&C
  1. Here is a data set which is used for examples of tests from the first portion of Ch. 10, and also instructions for how to get the data into StatXact in the proper format. Here are examples of some tests from the first portion of Ch. 10, done with Minitab. Inserted into the Minitab output are instructions on how to use StatXact to do a variety of tests from the first portion of Ch. 10.
  2. Here is a data set which is used for examples of tests from the second portion of Ch. 10. Here are examples of some tests from the second portion of Ch. 10, done with Minitab. Inserted into the Minitab output are instructions on how to use StatXact to do a variety of tests from the second portion of Ch. 10.
  3. Also, here is a file that contains R code for some of the tests from the second portion of Ch. 10. Here is another file that contains R code for some other tests from the second portion of Ch. 10.
Chapter 11 of G&C
  1. Here is a data set (with no tied values) which is used for examples of tests from Ch. 11. Here are examples of some tests from Ch. 11, done with Minitab. Inserted into the Minitab output are instructions on how to use StatXact to do a variety of tests from Ch. 11.
  2. Here is a data set (with some tied values) which is used for examples of tests from Ch. 11. Here are examples of some tests from Ch. 11, done with Minitab. Inserted into the Minitab output is information about the corresponding results obtained with StatXact.
Chapter 12 of G&C
  1. Here is a data set (with no tied values) which is used for examples of tests from Ch. 12. Here are examples of some tests from Ch. 12, done with Minitab. After the Minitab output are instructions on how to use StatXact to do a variety of tests from Ch. 12, and some extra tests that StatXact will do that aren't covered in Ch. 12.
  2. Here is a data set and StatXact instructions for doing Page's test on the data.
  3. Here is a data set and StatXact instructions for using Kendall's coefficient of concordance to do a test on the data.