ProUCL - data loading
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• Data are loaded by
selecting the File:Open option from the menu bar and then entering a file
name or using the browser window to find the file. (Note: the file must be
either Excel, delimited text, or Lotus file format.) This process is easy;
however, large data sets should be parsed in MS Access because excess data
may crash the program. (A spreadsheet that contained 25 columns and 305
rows repeatedly caused the program to crash. This issue was resolved by
filtering the data so that only one variable occupying one column was
uploaded.)
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• A new dataset
may also be entered manually by selecting the File:New option.
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ProUCL - graphic
loading
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• Not applicable.
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ProUCL - logical flow
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• The program is
self-explanatory; all options are located on the menu bar. The graphing
function is also user-friendly: data and graph/chart type can be changed
and manipulated by right clicking in the graph; any user that can graph or
chart with Excel can graph or chart in ProUCL..
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• The Help
function addresses only the most general program functions, such as
printing and saving files. The Help function does not address technical
issues or functions that are specific to ProUCL.
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ProUCL - expert
knowledge
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• User should have
a sound understanding of statistical analysis and understand the proper use
of statistics to achieve the project goals.
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• ProUCL is
designed to address a critical need, yet one that is narrow in its scope.
ProUCL estimates the 95 percent upper confidence limit (UCL) of an unknown
population mean and provides some capabilities in distribution testing.
ProUCL uses several methods to compute the UCL and gives the user much
additional information (e.g., gamma UCL, Land's H-UCL; p. 79-80 of the User
guide). ProUCL does not evaluate spatial statistics.
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ProUCL -
functionality
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• The program
exhibited a few glitches. More complex data sets cause the program to
crash, or a "please wait" message would appear and the program
apparently would freeze.
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• The program is
straightforward and is simple to save and print graphs and charts as well
as the statistical summaries.
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ProUCL -
documentation
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• A manual is
downloaded with the tool kit and provides useful information how to use the
program. Most environmental professionals should be able to use the program
in conjunction with the manual to obtain statistical summaries and UCLs.
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ProUCL - output
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• The outputs are
in Excel formats. Saving and printing both spreadsheets and graphs and
charts are simple and user friendly.
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• The program
user's guide is downloaded with the program and is easy to follow. If the
user's goal is to run statistical analysis on univariate data sets, this
program is simple, quick, and user friendly. One obvious limitation is that
it does not evaluate multivariate statistics.
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ProUCL - sources
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• ProUCL, Version 3.0,
downloaded October 17, 2006. Developer
notes that Version 4.0 will be released later in 2007.
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