Reliability/Survival: analysis of parametric and non-parametric distributions, goodness-for-fit measurements, least squares and maximum likelihood estimations, accelerated life testing.
Design of experiments (DOE): level two factorials, split-plot factorials, general factorials, Plackett-Burman factorials, response surface designs. Analysis of the measurement system on worksheets for the collection of data, erroneous classification probabilities, measurement system run charts. Statistical control of processes: run charts, Pareto diagrams, cause and effect diagrams, control charts for variables and attributes, weighted time control charts, process capacity for multiple variables. Function for the analysis of the variance: ANOVA, MANOVA, general linear model, multiple comparisons, prediction and response optimization. Calculation of linear, binary logistics, ordinal, nominal, non-linear and Poisson regressions. Assistant for the creation of professional-looking charts: dispersion, matrix, bubbles, 3D contour and rotational, probability and distribution of probabilities. Basic statistics: descriptive, Z-tests, one and two proportion tests, Poisson rate tests, correlation and co-variance tests, normality tests, atypical value tests, and goodness-of-fit test for Poisson. Assistant for the analysis of measurement systems, capacity and graphics systems and for hypothesis, regression, DOE and control chart tests. In Minitab, we can find all the following main features and functions to carry out statistical data analyses: It offers us the chance to draw up professional presentations mainly thanks to its user-friendly and customizable interface that makes it easier to work with stats.Ī really complete statistical analysis software. One of the resources that we can turn to is this Minitab, which comes along with a complete set of statistical calculation tools. 
Nowadays, thanks to Big Data, it's a discipline that has become more and more important for which reason having decent software capable of helping us to understand and simplify the complexity of huge data volumes is a must.
Statistics are essential when it comes to making decisions related to behavioral patterns based on the analysis, collection, study, postprocessing and classification of data.
0 kommentar(er)
