parent nodes:


News
25-09-2016
Version 3.72 Fix Multiple Levene header and Check balance DOE

03-09-2016
Version 3.71 Fix installing when old version exist, Fix error handling wrong input

05-08-2016
Version 3.70 New installer fix errors during installation

15-06-2016
Version 3.60 Add Plackett–Burman Array Full-factorial arrays on more than 2 levels

01-05-2016
Version 3.52 Fix Combine levels in column A of the DOE array



Full version of Develve
For commersial use
75 EURO


Statistical software for fast and easy interpretation of experimental data in science and R&D in a technical environment. This statistical package helps with analysis and prevents making false assumptions. In short it makes statistics faster and easier, suitable for less experience users but advanced enough for more demanding users.

Develve has no deep hidden menus, everything is directly accessible and the results are directly visible, to improve the productivity. For instance the result graphs are easily scrollable and with a click on a graph a bigger version will pop up. Develve clearly indicates when two variables are significantly different, and if the sample size is big enough to prevent false assumptions. For a Design of Experiments Develve helps to create a test matrix. When a factor is not in balance Develve will detect this.

This program can help to develop a robust product with high quality, this makes Develve an excellent Six sigma toolbox.

Feel free to download the Free version of Develve

Gauge R&R

Statistics

Design of Experiments

Weibull analysis

Sample size calculations

Screenshot Develve statistical software

Features of the program

Basic Statistics
Mean
Sample counting n
STDEV
Median
Cp Cpk % out of tolerance
Min/Max
Compare with
Difference
t-test
Wilcoxon–Mann–Whitney-test
Variation F-test
Variation Levene test
Anderson Darling normality test
Correlation test
Regression
Multiple linear Regression
Sample size calculations
Kurtosis
Skewness
filter
Box-Cox transformation
Generate distribution
Proportion calculation
Chi Square test
One way Anova
Kruskal-Wallis Test
Graphs
Distribution fitting
Measurement System Analyses
Gauge R&R
Nested Gauge R&R (destructive)



Design of experiments (DOE)
• Up to 12 levels
• 10 repetitions
Open standard orthogonal arrays and full factorial arrays
Interactions
Anova DOE
Confirmation run
Including response graphs
• Calculate the doe on one Column out of the result array or all the columns



Reliability
Weibull analysis
Weibayes
Search

Sitemap

Six sigma

Develve Statistical software






Support
Get the Free version
Contact