Data Analysis
Plot Types:
Any subset of the plot types listed below can
be combined together in a single graph.
-
Statistical Distributions. Plots
statistical distributions (either PDF or CDF) based on supplied distribution
parameters. Available distribution types are: Normal, Exponential,
Lognormal, Weibull, Gamma, Binomial
-
Histogram.
Draws a Histogram of the supplied sample data and reports associated
statistical parameters such as Mean, Median, Variance, Standard Deviation,
Skewness and Kurtosis
-
Regression.
Performs linear regression on the
supplied sample data for certain predefined fitting functions
-
Probability Plot.
Draws a Probability Plot of the supplied sample data. The probablity
plot plots the sample values against the so-called order statistic
medians for a given distribution type. The closer the plot is to a
straight line, the better the fit is the to chosen distribution
type. The intercept of the straight line fit gives the distribution
location parameter, and the slope gives the distribution scale
parameter
-
PPCC Plot.
A
probability plot calculates, for a given distribution type, the location and
scale parameters which best best fit the sample data. If the distribution
also has a shape parameter, this must be supplied. The PPCC plot calculates
multiple probability plots for a range of shape parameters and reports the
shape parameter providing the best fit.
-
Box Plot.
Each curve is drawn as a box diagram
based on a set of input sample values
|