StatisticsMinitab 17.3.1 full crack (Multilanguage) Statistical Software

Minitab 17.3.1 is the final version of powerful statistical software used by students and professionals worldwide to communicate through data and graphs.

Minitab_17

Previously we published the version of Minitab 17.1, which did not need any Crack or Serial, since it was cracked. Now we bring you this new and latest version: Minitab 17.3.1 in Spanish (multilanguage) + Activation Crack.

Minitab 17 has each and every one of the tools you need to examine your data effectively. By guiding you to convenient analysis and giving you clear results, Minitab helps you locate meaningful solutions to your most difficult business drawbacks. Exploring your data should not be complicated. From preparing your data for analysis to delivering robust results, Minitab gives you the tools you need to turn your data into solutions.

Intelligent data import

Simply correct case-sensitive discrepancies, properly represent remaining data, delete auxiliary spaces, and make column lengths the same when importing Excel data and other file types.

Automatic update of graphs

Graphs and control charts are updated automatically when you add or edit data, so you should not worry about holding your paced charts.

Seamless data manipulation

Explore your data directly on the worksheet. Format columns to instantly identify and create subsets of the most common values, outliers, out-of-spec measurements, and more.

Presentations without care

Export graphs and output directly to Microsoft Word or PowerPoint to create presentations and share your results with your colleagues easily.

Features Minitab 17
Minitab Assistant 17.3.1

Analysis of measurement systems
Capacity Analysis
Graphic analysis
Hypothesis testing
Regression
DOE
Control Charts
Basic statistics

Statisticians graphics
Test Z for one sample, t tests for one and 2 samples, paired t-test
One and 2 ratios tests
Poisson rate tests for one and two samples
One and 2 variance tests
Relationship and covariance
Normal test
Test of atypical values
Poisson fit goodness test
Minitab Charts 17.3.1

Simply create professional-looking graphics
Scatter charts, matrix charts, box charts, dot charts, histograms, diagrams, time series graphs, and so on
Bubble chart
Contour and rotating 3D graphics
Probability and Probability Distribution Charts
Edit the attributes: axes, labels, reference lines, etc.
Re-create graphs that are interactively matched with new data
Simply put multiple charts on one page
Automatically update graphs as data changes
Highlight charts to explore points of interest
Export: TIF, JPEG, PNG, BMP, GIF, EMF
Regression

Linear regression
Binary, ordinal and nominal logistic regression
Nonlinear Regression
Stability studies
Orthogonal Regression
Partial least squares
Poisson regression
Graphs: remains, factorial, contour, surface, etcetera
Staggered and better subsets
Prediction and optimization of the answer
Minitab Analysis of Variance 17.3.1

ANOVA
General Linear Model
MANOVA
Multiple Comparisons
Prediction and optimization of answers
Test of equality of variances
Graphs: remains, factorial, contour, surface, etcetera
Analysis of means
Statistical processes control

Racing graphic
Pareto chart
Cause and Effect Diagram
Control charts for variables: XBarra, R, S, XBarra-R, XBarra-S, I, MR, I-MR, I-MR-R / S, zone, Z-MR
Control charts for attributes: P, NP, C, Or, P 'and U' of Laney
Weighted Time Control Charts: MA, EWMA, CUSUM
Multivariate control charts: T2, extended variance, MEWMA
Graphs of rare events: G and T
Historical charts / changes in processes
Box-Cox and Johnson Transformations
Individual distribution identification
Process capacity: normal, not normal, attribute, lot
Process Capability for Multiple Variables
Process Capability SixpackTM
Tolerance Intervals
Acceptance Sampling and OC Curves
Analysis of measurement systems

Worksheets for data collection
R & R study of the measurement system (cross): ANOVA and Xbarra-R methods
R & R study of measurement system (nested)
R & R study of the expanded measurement system
Wrong classification probabilities
Measurement system run graph
Linearity and cut of the measurement system
Study of the measurement system of Type 1
Study of the measurement system by attributes - Methodical procedure of AIAG
Attribute Matching Analysis
Test design (DOE)

2 level factorial designs
Split plot designs
General Factor Designs
Designs by Plackett-Burman
Surface contour designs
Mix Designs
D-perfect and distance-based designs
Designs by Taguchi
User-defined designs
Examining the variability of factorial designs
Discord Racing
Effect graphs: normal, normal (absolute), Pareto
Prediction and optimization of answers
Graphs: debris, primordial effects, interaction, cube, contour, surface, mesh
Reliability / Survival

Parametric and non-parametric distribution analysis
Goodness of fit measures
Maximum likelihood estimates and least squares
Accurate fault data, censored by the right, by the left and by interval
Accelerated life test
Regression with life data
Reliability Test Plans
Distribution of threshold value factors
Repairable systems
Multiple failure modes
Probit analysis
Weibayes analysis
Testing hypotheses on distribution factors
Graphs: distribution, probability, danger, survival
Warranty Analysis
Power and size of the sample

Sample size for estimation
Sample size for tolerance intervals
Z for one sample, t for one and 2 samples
T paired
One and 2 ratios
Poisson rates for one and two samples
One and two variances
Equivalence tests
ANOVA of a single factor
Plackett-Burman 2-level designs and general complete factorial
Power Curves
Multivariate

Analysis of primordial components
Factorial analysis
Discriminant Analysis
Analysis of conglomerates
Correspondence Analysis
Element analysis and Cronbach alpha
Time series and forecasts

Time Series Charts
Trend Analysis
Decomposition
Mobile average
Exponential Smoothing
Winters Procedure
Functions of autocorrelation, partial autocorrelation and also intercorrelation
ARIMA
No parametric

Sign test
Wilcoxon test
Mann-Whitney test
Kruskal-Wallis test
Mood median test
Friedman test
Race Testing
Equivalence tests

Design of one and 2 samples, paired and crossed 2 × 2
Boards

Chi-square test, Fisher's exact test and other tests
Chi-square test of goodness of fit
Account of individual variables
Simulations and distributions

Random Number Generator
Density functions, stacked distribution and inverse heaped distribution
Hazardous sampling
Macros and ability to customize

Customizable menus and toolbars
Numerous preferences and user profiles
Minitab-17.3.1

What's New Minitab 17.3.1
Cleaning the data

Thanks to an improvement in data import, it is now simpler than ever to add the data already before entering them in the worksheet:

Identifying and correcting case mismatches
Properly represent the remaining data
Remove blank rows and spaces or extra characters
Match the length of the columns
Copy and Paste Warning

Already before starting the analysis, be sure to copy and paste the data properly with a new warning that protects from incorrectly formatted columns. Minitab informs you if the data with column names has been pasted in the wrong row of the worksheet and corrected by.

System Requirements Minitab 17.3
OS Windows 7 SP1 or higher, Windows 8 or 8.1, Windows 10.
Memory RAM 512 MB (minimum); 1 GB or more (recommended).
Processor Intel Pentium 4 or AMD Athlon Dual Core, with SSE2 technology.
Free hard disk space: 2 GB (minimum).
Screen resolution: 1024 x 768 or higher.
Minitab 17.3.1 includes all languages ​​(multilingual), including Spanish, so you will no longer need to download the language pack, as in version 17.1.

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