NCSS Statistical And Data Analysis 2005.01.21

NCSS Statistical And Data Analysis 2005.01.21
<

Since 1981 NCSS has specialized in providing
statistical analysis software to the occassional
user of statistics. Our current release, NCSS
2004.
PASS performs power analysis and calculates
sample sizes. Use it before you begin a study
to calculate an appropriate sample size (it
meets the requirements of govement agencies
that demand technical justification of the
sample size you have used). Use it after a
study to determine if your sample size was
large enough.
PASS lets you solve for power, sample size,
effect size, and alpha level. It automatically
displays charts and graphs along with numeric
tables and text summaries in a portable format
that is cut and paste compatible with all word
processors so you can easily include the
results in your proposal.
PASS is a standalone system. Although it is
integrated with NCSS, you do not have to own
NCSS to run it. You can use it with any
statistical software you want.
PASS is accurate. It has been extensively
verified using books and reference articles.
Proof of the accuracy of each procedure is
included in the extensive documentation.
PASS comes with the original 490 page manual
and a 250 upgrade manual that contain
tutorials, examples, annotated output, references,
formulas, verification, and complete instructions
on each procedure. And, if you cannot find an
answer in the manual, our free technical
support staff (which includes a PhD
statistician) are available.
PASS Beats the Competition!
No other program calculates sample sizes and
power for as many different statistical
procedures as does PASS. Specifying your input
is easy, especially with the online help and
manual.
Choose PASS. Its more comprehensive,
easier to use, accurate, and less expensive than
any other sample size program on the market.

BUY NCSS Statistical And Data Analysis 2005.01.21 35$

TAGS\: low price NCSS Statistical And Data Analysis 2005.01.21, order NCSS Statistical And Data Analysis 2005.01.21, buy NCSS Statistical And Data Analysis 2005.01.21