StatLight series is
the full-fledged add-in software compliant with the user-friendly
version of Microsoft Excel.
For appropriate statistical
approval results, it is important to select techniques for comparative
assay with distribution type abilities, ascertaining the data
distribution type.
Test conducted are
handled in the same way as in the data analysis tool of Microsoft
Excel. You can also use text file of statistics library series
directly.
Example Outlier:Bases model
An example is set in the Excel Sheet
Click to view the the enlarged
figure.
Above Screen in Japanese only
Input window of rejected numeric value
Above Screen in Japanese only
The input window of posteriori probability
Above Screen in Japanese only
For 1 distribution
with observed value xn, in case an abnormal value of a different
distribution is included, for example for normal distribution
of average µ0 dispersion s2 when appertain abnormal value is
included in normal distribution of average µ1, dispersion s2.
In a Bayes model, probable cause is searched for in all data,
the prior probability (combination theory) of the abnormal value
of K items is searched, and this prior probability is compared
with probable causes and the abnormal value can be detected.
Deployed analysis method
• Stem & Leaf
• Frequency table
• Frequency table
with Starges's formula
• Outlier Bayes-model
• Outlier Smirnov-Graubbs
• Kolmogorov-Smirnov
test Uniform dist.
• Kolmogorov-Smirnov
test Normal dist.
• Estimated variance
Bootstrap method
• Estimated variance
Jack-Knife method
• Test of population
mean with knowns
• Test of population
mean with unknowns
• Test of population
variance with knownµ
• Test of population
variance with unknownµ
Introduction
OS
Windows
& Excel 98 /2000 / XP
Compliant
with
Windows 98 /2000
/ XP
Medium
3.5
Inch Floppy Disk
Price
20,000
Yen (Excluding tax)
Company names and product
names mentioned in this pamphlet are the trademarks of the respective
companies or registered trademarks. Published contents etc.
may be upgraded or changed without prior notice.
