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   Minitab Professional v16.1.0.0 Item Number : 1000001573   
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Minitab Professional v16.1.0.0
70.00 USD

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Condition New
Status Open
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jackonsoftware (24) Verified Seller
in China
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Minitab Statistical Software Features

se of Use
Intuitive design is simple to learn
Menus and tools arranged logically, matching textbooks and training materials
Project Manager organizes analysis
ReportPad鈩 for generating reports
Easily export output to PowerPoint and Word
Clear, comprehensive Help system
StatGuide鈩 explains output
Tool-specific tutorials
Glossary of statistical terms
Methods and formulas used in calculations
Smart Dialog Boxes鈩 remember recent settings
Hundreds of sample data sets
Available in multiple languages
Increased speed and improved performance
Data and File Management
All-in-one project files include entire analysis
Spreadsheet-like worksheets
Unlimited worksheets, with up to 4000 columns and unlimited rows in each
Import/export: Excel, Text, CSV, HTML, etc.
Query databases with ODBC
Assign formulas to columns; columns update when data change
Multiple Undo/Redo
Numeric, text and date/time formats
Data manipulation: merge, subset, sort, transpose, code, etc.
Matrix functions
Password protection
Menu that easily leads you through your analysis
Helps you choose the right tool using an interactive decision tree
Includes guidelines to ensure your analysis is successful
Uses a simplified interface that is easy to understand
Provides interpretation of your output
Creates comprehensive reports for presenting results
Basic Statistics
Descriptive statistics
One-sample Z test
One- and two-sample t-tests, paired t-test
One and two proportions tests
One- and two-sample Poisson rate tests
One and two variances test
Correlation and covariance
Normality test
Goodness-of-fit test for Poisson
State-of-the-art graphics engine
Pictorial galleries simplify graph creation
Interactively edit attributes (axes, labels, etc.)
Recreate custom graphs with new data
Easily place multiple graphs on one page
Display data for different variables or groups in panels
Information display tools: tooltips, crosshairs, plant flags
Graphs can update as data change
Built-in graphs available with a single click
Scatterplots, matrix plots, boxplots, dotplots, histograms, charts, time series plots, etc.
Line plots
Contour and rotating 3D plots
Probability and probability distribution plots
Numerous special-purpose graphs
OLE to edit Minitab graphs in other applications
Graph brushing to explore points of interest
Regression Analysis
Linear regression
Nonlinear regression
Orthogonal regression
Binary, ordinal and nominal logistic regression
Partial least squares (PLS)
Stepwise and best subsets
Residual plots
Easily create indicator variables
Confidence and prediction intervals
Analysis of Variance
General linear model (GLM)
Unbalanced nested designs
Fully nested designs
Analysis of means
Multiple comparisons
Residual, main effects, and interaction plots
Design of Experiments
Two-level factorial designs
Split-plot designs
General factorial designs
Plackett-Burman designs
Response surface designs
Mixture designs
D-optimal and distance-based designs
Taguchi designs
User-specified designs
Analyze variability for factorial designs
Response prediction
Botched runs
Response optimization
Plots: residual, main effects, interaction, cube, contour, surface, wireframe
Effects plots: normal, half-normal, Pareto
Statistical Process Control
Run chart
Pareto chart
Cause-and-effect (fishbone) diagram
Variables control charts: XBar, R, S, XBar-R, XBar-S, I, MR, I-MR, I-MR-R/S, zone, Z-MR
Attributes control charts: P, NP, C, U
Time-weighted control charts: MA, EWMA, CUSUM
Multivariate control charts: T-squared, generalized variance, MEWMA
Custom tests for special causes
Historical/shift-in-process charts
Individual distribution identification
Box-Cox transformation
Johnson transformation
Process capability: normal, non-normal, attribute, batch
Process capability for multiple variables
Process Capability Sixpack鈩
Multi-Vari chart
Symmetry plot
Acceptance sampling and OC curves
Tolerance intervals
Measurement Systems Analysis
Data collection worksheet generator
Gage R&R Crossed: ANOVA and Xbar-R methods
Gage R&R Nested
Gage R&R for more than two variables
Misclassification probabilities
Gage run chart
Gage linearity and bias
Type 1 Gage Study (single part)
Attribute Gage Study 鈥 AIAG analytic method
Attribute agreement analysis
Reliability/Survival Analysis
Parametric and nonparametric distribution analysis
Goodness-of-fit measures
ML and least squares estimates
Exact failure, right-, left-, and interval-censored data
Accelerated life testing
Regression with life data
Reliability test plans
Threshold parameter distributions
Analysis of repairable systems
Analysis of multiple failure modes
Probit analysis
Weibayes analysis
Hypothesis tests on distribution parameters
Plots: distribution, probability, hazard, survival
Warranty analysis
Multivariate Analysis
Principal components analysis
Factor analysis
Discriminant analysis
Cluster analysis
Correspondence analysis
Item analysis and Cronbach鈥檚 alpha
Time Series and Forecasting
Time series plots
Trend analysis
Moving average
Exponential smoothing
Winters鈥 method
Auto-, partial auto-, and cross correlation functions
Sign test
Wilcoxon test
Mann-Whitney test
Kruskal-Wallis test
Mood鈥檚 median test
Friedman test
Runs test
Chi-square, Fisher鈥檚 exact, and other tests
Chi-square goodness-of-fit test
Tally and cross tabulation
Power and Sample Size
Sample size for estimation
One-sample Z
One- and two-sample t
Paired t
One and two proportions
One- and two-sample Poisson rates
One and two variances
Two-level factorial design
Plackett-Burman and general full factorial designs
Power curves
Simulation and Distributions
Random number generator
Density, cumulative distribution, and inverse cumulative distribution functions
Random sampling
Macros and Customizability
Customizable menus and toolbars
Extensive preferences and user profiles
DMAIC Toolbar
Comprehensive command language
Powerful macro capability
COM-enabled automation

What's New in Minitab 16


Let Minitab鈥檚 Assistant menu lead you through your analysis.
Follow an interactive decision tree to determine the right approach.
Easily select the correct tool and review guidelines to ensure your analysis is successful.
Save time conducting your analysis using a simplified interface.
Use Minitab-generated interpretations to understand and respond to your results.
Present your findings using detailed, comprehensive reports.

Display Descriptive Statistics
Choose to display all, none, or your default statistics.

1 Variance
Perform a hypothesis test for the variance or standard deviation.

2 Variances
Perform a hypothesis test for variances or standard deviations.
Specify a one- or two-sided alternative hypothesis.
Specify a hypothesized ratio.
Compare samples using built-in graphs.

General Regression
Easily specify interaction and polynomial terms.
Include both continuous and categorical predictor variables.
Calculate confidence intervals for regression coefficients.
Transform the response variable using the Box-Cox transformation.
Nonlinear Regression
Fit a nonlinear model using a catalog of expectation functions, or specify your own function.

Orthogonal Regression
Fit a model for a predictor variable that has error.

Binary Logistic Regression
Calculate confidence intervals for event probabilities.
Store event probabilities in the worksheet for all or unique observations.
Ordinal and Nominal Logistic Regression
Event probabilities stored in the worksheet for all observations.

Partial Least Squares
Easily specify interaction and polynomial terms.
Include both continuous and categorical predictor variables.

Evaluate comparisons using a grouping information table.

General Linear Model
Calculate predicted values for new observations.
Evaluate comparisons using a grouping information table.

Split-Plot Designs
Create and analyze designs with hard-to-change factors.

Additional Enhancements
Easily view longer factor names in the Terms dialog.
Display sum of squares for individual terms.
Randomize a design and sort by run order in one step.

Pareto Chart
Create Pareto charts using a more flexible interface.

Capability Analysis
Access the Box-Cox and Johnson transformations in one location.
PPM included on the Sixpack.
Option to display Benchmark Z鈥檚 (sigma level) on the Sixpack.
Tolerance Intervals
Calculate tolerance intervals for normal and nonnormal distributions.

Gage Run Chart
Create a run chart with missing data (unbalanced studies).

Crossed and Nested Gage R&R
Calculate confidence intervals.

Expanded Gage R&R
Analyze studies with missing data (unbalanced studies).
Analyze studies that have more than two factors.
Include terms that are crossed or nested.
Include factors that are fixed or random.
Create Attribute Agreement Analysis Worksheet
Create a data collection worksheet for Attribute Agreement Analysis.

Attribute Agreement Analysis
Display a disagreement summary table when known standard values are provided.

Principal Components Analysis
Display Mahalanobis distances using an outlier plot.
Store Mahalanobis distances in the worksheet.

1 and 2 Proportions
Use simplified fields to specify input values.

Plackett-Burman Design
Specify the number of corner points using a dropdown field.

New Power and Sample Size Tools
Sample Size for Estimation
Paired t
1- and 2-Sample Poisson Rates
1 and 2 Variances
General Full Factorial Design

New Tutorials
Learn how to use Minitab鈥檚 most popular tools with 45 new tutorials.

Meet Minitab
Easily access this guide to getting started from the Help menu.

Sample Data Sets
New sample data sets available, including those used in StatGuide.

Access Minitab in seven languages.

Improved Performance
Quickly import datasets.
Open larger project files even faster.
Run your analysis even faster.
Export to PowerPoint and Word
Export output directly to Microsoft PowerPoint or Word.

Line Plot
Choose to display Y as a percent.

Tally Individual Variables
Store results in the worksheet.

DMAIC Toolbar
Use Manage Profiles to easily access the popular toolbar that organizes statistical tools according to the DMAIC roadmap.

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