Minitab - QI Macros Comparison


© 2007 KnowWare International, Inc. DBA LifeStar
2253 S. Oneida St., Ste 3D
Denver, CO 80224

Jay Arthur
888-468-1537
303-756-9144
Email Us

We help people think!

Our experience suggests that 10% of the Six Sigma Tools will be used 90% of the time. (The other 90% will only be used 10% of the time.) The design of the QI Macros reflects this mindset.

Compare the QI Macros and Minitab:

"I had one office person go to a Greenbelt training class which used Minitab. He came back and couldn't even create a Pareto chart. I showed him how to do it with QI Macros and he learned how to do it in, well, 5 seconds. tough stuff."
Patient Safety Manager


As Jeffery Liker says in The Toyota Way:

“Most problems do not call for complex statistical analysis, but instead require painstaking, detailed problem solving.”

"I have tested your software and also tested Minitab. Your software just seems to be the better of the two. I will place my order today."
Jim Riepe, Quality Specialist

 

 

Minitab

QI Macros

Define, Measure, Analyze, Improvem Control (DMAIC)

 

 

Balanced Scorecard

 

Y

SIPOC

 

Y

Flow chart

 

Y

Run chart

Y

Y

Pareto chart

Y

Y

Fishbone diagram

Y

Y

Failure Modes and Effects Analysis (FMEA)

 

Y

Scatter chart

 

Y

Action plan, Gantt charts

 

Y

 

 

 

Control Chart Wizard: Analyzes your data and selects the correct control chart for you!

 

Y

 

 

 

 

Statistical Process Control (SPC - Control)

 

 

Pre-Control Chart

 

Y

Control Plan (AIAG)

 

Y

Control charts: XBar, XBar-S, XmR, CUSUM, p, np, c, u

Y

Y

Historical/shift-in-process charts

Y

Y

Process capability

Y

Y

Process Capability SixpackTM

Y

Fivepack

Multi-Vari charts

Y

Y

Symmetry plot

Y

Y

Scatter plots, boxplots, dotplots, histograms, charts, time series plots

Y

Y

Probability plots, contour plots

Y

Y

Matrix plots, pie charts

Y

Y

Control charts: MA, EWMA, zone

Y

Y

Short Run and Median Control charts

Y

Y

Multivariate control charts: T2, generalized variance, MEWMA

Y

T2

Box-Cox transformation

Y

Y

Johnson transformation

Y

 

 

 

 

Design for Six Sigma

 

 

QFD House of Quality

 

Y

Pugh Concept Selection Matrix

 

Y

 

 

 

Measurement Systems Analysis

 

 

Gage R&R: ANOVA and XBar-R methods

Y

Y

Attribute Gage Study - AIAG long method

Y

Y

Gage linearity and accuracy

Y

Y

Gage run chart

Y

Y

Nested Gage R&R

Y

 

Attribute agreement analysis

Y

 

 

 

 

Basic Statistics

 

 

Descriptive statistics

Y

Y

Confidence intervals, one- and two-sample t-tests, paired t-tests

Y

Y

Correlation and covariance

Y

Y

Chi-square test

Y

Y

Normality test

Y

Y

Test for equal variances

Y

Y

Analysis of Variance (ANOVA)

Y

Y

 

 

 

Regression Analysis

 

 

Linear regression

Y

Y

Residual plots

Y

Y

Polynomial regression

Y

 

Logistic regression

Y

 

Partial least squares (PLS)

Y

 

Stepwise and best subsets

Y

 

 

 

 

Design of Experiments

 

 

Two-level factorial designs

Y

Y

General full factorial designs

Y

Y

Plackett-Burman designs

Y

Y

Taguchi designs

Y

Y

Analysis of variability for factorial designs

Y

Y

User-specified designs

Y

 

Response surface designs

Y

 

Mixture designs

Y

 

D-optimal and distanced-based designs

Y

 

Response prediction

Y

 

Botched runs

Y

 

Mixture plots

Y

Y

Overlaid contour plot

Y

 

Plots: residual, main effects, interaction, cube, contour, surface, and wireframe

Y

 

Response optimization

Y

 

 

 

 

Reliability/Survival Analysis

 

 

Parametric and nonparametric distribution analysis

Y

Y

Goodness-of-fit measures

Y

Y

ML and least squares estimates

Y

 

Exact failure, right-, left-, and interval-censored data

Y

 

Accelerated life testing

Y

 

Regression with life data

Y

 

Reliability test plans

Y

 

Threshold of parameter distributions

Y

 

Analysis of repairable systems

Y

 

Analysis of multiple failure modes

Y

 

Probit analysis

Y

 

Weibayes analysis

Y

 

Hypothesis tests on distribution parameters

Y

 

Plots: distribution, probability, hazard, and survival

Y

 

Confidence intervals

Y

 

 

 

 

Power and Sample Size

 

 

 

 

 

One-sample Z, t, and proportion

Y

Y

Two-sample t and proportion

Y

Y

One-way ANOVA, two-level factorial, and Plackett-Burman

Y

Y

Solve for number of center points

Y

 

 

 

 

Multivariate Analysis

 

 

Principal component analysis

Y

 

Discriminant analysis

Y

 

Cluster analysis

Y

 

Factor analysis

Y

 

Correspondence analysis

Y

 

 

 

 

Time Series and Forecasting

 

 

Time series plots

Y

Y

Auto-, partial auto-, and cross correlations

Y

 

Y ARIMA analysis

Y

 

Trend analysis

Y

 

Decomposition

Y

 

Exponential smoothing

Y

Y

Winter's method

Y

 

Moving average

Y

Y

 

 

 

Nonparametrics

 

 

Sign test

Y

Y

Wilcoxon test

Y

Y

Mann-Whitney test

Y

Y

Kruskal-Wallis test

Y

Y

Friedman test

Y

Y

Runs test

Y

 

Mood median test

Y

 

 

 

 

Tables

 

 

Cross-tabulation interface with new measures of association

Y

Pivot Table

Contingency tables

Y

 

Tally

Y

 

Fisher's exact test for 2x2 tables

Y

 

Simulation and Distributions

Y

 

Random number generator

Y

Excel

Density, distribution, and inverse cumulative distribution functions

Y

Excel

Random sampling

Y

Excel

 

 

 

Ease of Use

 

 

Customizable menus and toolbars

Y

Y

Online tutorials

Y

Y

Clear, comprehensive HTML Help system

Y

Y

Project Manager: logically organizes analysis

Y

 

Smart dialog boxes: remember recent settings

Y

 

Extensive preferences and user-editable profiles

Y