Using Statistica Power Analysis in planning and analyzing your research, you can always be confident
that you are using your resources most efficiently. Nothing is more disappointing than realizing that
your research findings lack precision because your sample size was too small. On the other hand, using
a sample size that is too large could be a significant waste of time and resources. STATISTICA Power
Analysis will help you find the ideal sample size and enrich your research with a variety of tools
for estimating confidence intervals and conducting comprehensive power analysis.
Statistica Power Analysis is a comprehensive, general purpose tool for helping you plan your
research studies so that the sample size is appropriate for the objectives of the study. It also
provides a wide variety of tools for analyzing all aspects of statistical power and sample size
calculation.
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Click Here for Lists of Tests
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Statistica Power Analysis is compatible with Windows 95, Windows 98, Windows NT, Windows 2000,
Windows XP, Windows Me.
Why is Statistica Power Analysis the most modern and powerful program of its kind?
- Because no other power analysis application program matches the full range of capabilities
available in Statistica Power Analysis.
- Because Statistica Power Analysis is by far the fastest and easiest to use.
- Because Statistica Power Analysis is the only program of its type available on the market that
goes beyond standard tests of "zero effect," and implements modern methods using interval estimation
technology. The program can compute exact confidence intervals on effect sizes and use these to
construct exact confidence intervals on sample size and power.
- Because Statistica Power Analysis offers computational routines of unparalleled accuracy and
power. The computational routines are extremely precise, and maintain their accuracy across a much
broader range of parameters than those in other power analysis applications.
  
Note the screen shots above, which show how Statisrica Power Analysis can handle demanding
noncentral distribution calculations. One power analysis program refuses to perform the
calculations for the noncentral F example, returning a "Limit Check Failure" error message.
Another program returns, without comment, completely erroneous results for the noncentral t
example.
- Because at the touch of a button, the program produces presentation-quality, automatically-
scaled graphs of power vs. sample size, power vs. effect size, and power vs. alpha. Menus for
altering the range of these graphs are immediately available, so that the user can "hone in"
on regions of interest, and produce several graphs in rapid succession. The program produces
protocol statements, describing the calculations in a form that can be transferred directly
to your final report, research paper, grant proposal, etc.
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