Archaeometrics: Diggin' Stats

  • Home work:
    • Should there be a lack of attendance accompanied by an increasing number of homework assignments showing up in the grader's box during class time, assignments will no longer be posted.  Come to class to find out what is due and when.
    • Scores
  • Handouts:
  • Maps:
  • Java Applets:
    • Pass the Oinkers:  A fun way to get a feel for probabilities and expected values.  Play the game here or download everything you need to play it on your Java enabled machine.
  • Data Files:
    • Questionnaire results from our Fall 09 class.  They are available as both an Excel file and as an R dump file (that can be "sourced").
    • NCSS "Sample" data in Excel format.
    • R/S-Plus "Singer" data in Excel format.
    • "Hospital Survival" data in Excel format.
    • Unusual event data in various formats. (Zipped)
    • Anscombe's Data: Excel file with data and graphs.  NCSS data only in .S0 and .S1 files (you will need both).
    • El-Far'ah 12/98 Surface Data: Excel file containing data.  The first two rows of data should be discarded since the data from the two circles were mixed when a cat spilled one box in which the sherds were drying into the other.
    • Jerusalem rain data. A zip file of the data in various formats along with rain data for other areas in Israel.  The governmental source for some of this data is http://nasa.proj.ac.il/ims/ims.html#Monthly held by the Israel Meteorological Service.  Other data were provided by archaeologists.
    • R dump and workspace of tank data and programs in a zip files.
    • Poisson Cookies data.  A zip file containing both NCSS (you need both the .S0 and .S1 files) and Excel formatted data from the cookie excavations carried out in class.
    • David's Menahem data.  A zip file containing SAS, NCSS (you need both the .S0 and .S1 files) and Excel formatted data.
  • Utilities:
    • R is a freeware "statistical package".  It has been compiled to run under Windows, Mac OSX, and Linux -- other versions are probably around.  R is actually a vectorized, object oriented programming language with a large library of statistical functions already written for it.  It is used in a number of graduate programs and companies.  R is known for its flexibility and its presentation quality graphics. Not- guaranteed-to-be-most-recent versions for Windows and Mac OSX as well as the Windows installation notes are available locally by clicking on the appropriate version.  If possible, you should download the executables directly from the CRAN.
    • The very much not free version of R is S-Plus which has a somewhat nicer front end and about a $2000 street price.  Academics get a discount, and students can get a free version.  For those who care, S came first (Bell Labs), then S-Plus showed up (work at UW and then Insightful), and then the S people came back with R. 
    • NCSS (Number Cruncher Statistical Software) is not free.  However, there is a trial version that works for 14 days on 100 or fewer observations.  NCSS is available on campus.
    • SAS (Statistical Analysis System) is used by many Fortune 500 companies.  It contains both analytical and data management tools.  However, its graphics are weak.  It is also very expensive -- particularly for small liberal arts colleges.  A working knowledge of this package can definitely get you a job.

 

This site was last updated 01/19/17