ESBPDF Analysis v.2.3
ESBStats - Statistical Analysis Software v.2.0.0

ESBPDF Analysis v.2.3

ESBStats - Statistical Analysis Software v.2.0.0

probability analysis software Statistical Analysis and
for windows that provides Inference software for
an easy-to-use tool for Windows covering everything
using Discrete and from Average, Mode and
Continuous Distributions, Variance through to
handling all the Probability Hypothesis Analysis,
Combinations for you. time series and Linear
Features include Binomial, Regression. Includes Online
Poisson, Normal, Help, Tutorials, Graphs,
Exponential, Student t, Chi Summaries, Import/Export,
Squared, F, Beta and Customisable Interface,
Lognormal Distributions; Calculator,
Inverses of Normal, Student live spell check ,
t, Chi Squared, F, Beta and Install/Uninstall and much
Lognormal Distributions; more.
Lists of Binomial
Coefficients and
Permutations plus more.

WebCab Probability and Stat (J2SE Ed.) v.3.3
WebCab Probability and Stat (J2EE Ed.) v.3.3

Offers functionality from EJB Suite offers
basic statistics , Discrete functionality from
Probability, basic statistics , Discrete
standard probability dist... Probability,
, hypothesis testing , standard probability dist...
Correlation and Linear , hypothesis testing ,
Regression. Statistics Correlation and Linear
Module The Statistics Regression. Statistics
module incorporates Module The Statistics
evaluation procedures of module incorporates
standard quantitative evaluation procedures of
measures of centrality standard quantitative
(mean) and dispersion of measures of centrality
(discrete) numerical sets. (mean) and dispersion of
This module incorporates (discrete) numerical sets.
weighted averages, geometric This module incorporates
mean, Inter-Quartile... weighted averages,
geometric...

WebCab Probability and Stat for .NET v.3.3
WebCab Probability and Stat for Delphi v.3.3

Offers functionality from Offers functionality from
basic statistics , Discrete basic statistics , Discrete
Probability, Probability,
standard probability dist... standard probability dist...
, hypothesis testing , , Hypothesis Testing,
Correlation and Linear Correlation and Linear
Regression. Statistics Regression for your
Module The Statistics delphi applications
module incorporates . Statistics Module The
evaluation procedures of Statistics module
standard quantitative incorporates evaluation
measures of centrality procedures of standard
(mean) and dispersion of quantitative measures of
(discrete) numerical sets. centrality (mean) and
This module incorporates dispersion of (discrete)
weighted averages, geometric numerical sets. This module
mean, Inter-Quartile... incorporates weighted
averages,...

EasyFit v.1.3
MITCalc - Tolerance analysis v.1.11

EasyFit v.1.3

MITCalc - Tolerance analysis v.1.11

EasyFit is a Two programs for the
distribution fitting software tolerance analysis of
designed to facilitate linear, 2D and 3D
probability data analysis dimensional chains 1)
and best model selection. It tolerance analysis of
allows to easily and quickly linear dimensional chains.
select the probability The program is designed
distribution which best fits for tolerance analysis of
to your data, and thus saves linear (1D) dimensional
you time and makes your work chains. The program solves
more efficient. EasyFit the following problems: -
supports over 30 probability Tolerance analysis,
distributions, goodness of synthesis and optimization
fit tests , and high-quality of a dimensional chain using
graphs which help you the arithmetic
develop more valid models "WC" (Worst case)
and make better decisions. method, possibly...

MathAid Probability and Statistics v.15.60
Regression analysis - CurveFitter v.1.1

MathAid Probability and Statistics v.15.60

Regression analysis - CurveFitter v.1.1

Mathaid interactive CurveFitter program performs
Probability and statistical regression an...
statistics tutorial is a to estimate the values of
new java-based package for parameters for linear,
e-learning and multivariate, polynomial,
home schooling . It guides exponential and nonlinear
the user through all steps functions. The
of the learning process, regression analysis
from theoretical concepts, determines the values of the
examples, problem-solving parameters that cause the
lessons, drills to function to best fit the
customized tests. The observed data that you
emphasis is on interactivity provide. This process is
and "living" formulas - the also called "curve fitting".
unique graphics and
animations bring life to the
formulas and make learning
and exploring

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