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SampleSTAT

Toolbox for statistics of univariate normally distributed measured data
(910 downloads for this version - 2427 downloads for all versions)
Details
Version
1.0.0
A more recent valid version with binaries for Scilab 6.0 exists: 2.0.2
Author
Hani A. Ibrahim
Owner Organization
private individual
Maintainer
Hani Ibrahim
License
Dependency
Creation Date
April 17, 2019
Source created on
Scilab 6.0.x
Binaries available on
Scilab 5.5.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit MacOSX
Scilab 6.0.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit MacOSX
Install command
--> atomsInstall("ST_2019")
Description
            This toolbox provides elementary tests for evaluation of measured data for small
sample sizes. It calculates the range of dispersion of the values and the mean
regarding a given statistical confidence level.
 
These functions are good to extend the built-in functions mean(), stdev(),
max(), min(), median().

The toolbox SampleSTAT provide the following functions details refer example
below).

Compatible to Scilab 5.5.x and 6.0.x
 
----------------------------------------------------
 
MACROS:
 
* ST_strayarea: 
  Calculates the stray area (range of dispersion of the
  values) for a given vector and for a statistical
  confidence level (95%, 99%, 99.9%) and level of 
  significance (0.5, 0.01, 0.001), resp.
* ST_trustarea: 
  Calculates the trust area (range of dispersion of the
  mean) for a given vector and for a statistical
  confidence level (95%, 99%, 99.9%)and level of 
  significance (0.5, 0.01, 0.001), resp.
* ST_studentfactor: 
  Determines the student factor for an amount of numbers
  and for a statistical confidence level (95%, 99%, 
  99.9%) and level of significance (0.5, 0.01, 0.001), 
  resp. Service function for ST_staryarea and 
  ST_trustarea
* samplestat.dem.sce: 
  Demo for mean evaluation via "ST_strayarea()" and 
  "ST_trustarea()"

 ----------------------------------------------------
   
 EXAMPLES:
 
   v = [9.999 9.998 10.002  10. 10.001  10.];
   stdev(v)
   => ans = 0.0014142
 
   ST_strayarea(v, "95%") // confidence level in percent OR
   ST_strayarea(v, 0.05)  // confidence level of significance
   => ans = 0.0036345
 
   ST_trustarea(v, "95%")
   ST_trustarea(v, 0.05)
   => ans = 0.0014838
   
   68 percent of the values will stray arount 10.000 +/- 0.001 (S.D.).
   95% of the values will be expected around 10.000 +/- 0.004 (Range of
   disp. of the values, stray area). With a propability of 95% the mean 
   of 10.000 will stray around 10.000 +/- 0.001 (Rage of dispersion of   
   the mean, trust area).

 ----------------------------------------------------
 
 LITERATURE:
 
 Based on the German book R. Kaiser, G. Gottschalk; "Elementare Tests 
 zur Beurteilung von Meßdaten", BI Hochschultaschenbücher, Bd. 774, 
 Mannheim 1972.            
Files (3)
[22.73 kB]
Source code archive

[77.68 kB]
OS-independent binary for Scilab 5.5.x

[414.95 kB]
OS-independent binary for Scilab 6.0.x

News (0)
Comments (4)     Leave a comment 
Comment from Hani Ibrahim -- April 17, 2019, 10:51:35 AM    
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Comment from Hani Ibrahim -- April 23, 2019, 10:58:21 AM    
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