What’s New in Minitab 17€™s-New-in... · who are new to statistics or Minitab ASSISTANT...

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© 2014 Minitab, Inc. What’s New in Minitab 17 Michelle Paret Product Marketing Manager

Transcript of What’s New in Minitab 17€™s-New-in... · who are new to statistics or Minitab ASSISTANT...

Page 1: What’s New in Minitab 17€™s-New-in... · who are new to statistics or Minitab ASSISTANT Graphs Capability Regres-sion Hypothesis Tests MSA DOE Control Charts © 2014 Minitab,

© 2014 Minitab, Inc.

What’s New in Minitab 17

Michelle Paret

Product Marketing Manager

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Welcome to Minitab 17!

Minitab 17 offers numerous new

features and enhancements including

improvements to:

Assistant Regression and GLM DOE

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Top EnhancementsThe Assistant

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Making Data Analysis Even Easier

► Over the years, customers have told us:

“I don’t know which tool to use”

“Minitab has too many options”

“The dialogs are too technical”

“I need help interpreting my results”

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Designed for Green/Black Belts, occasional users, and those

who are new to statistics or Minitab

ASSISTANT

Graphs

Capability

Regres-sion

Hypothesis Tests

MSA

DOE

Control Charts

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Assistant for DOE

► DOE easier than ever

► Most requested Assistant feature

Screening designs

Modeling designs (x & x2)

2

6-15 factors

2-5 factors

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What value does it provide?

► Customers are already using DOE in core Minitab

► However, users really struggle with DOE:

• Choosing the appropriate design

• Analyzing the data is not always straightforward

► Easier for our users to:

• Plan and create experiments

• Analyze the data

• Conduct residuals analysis

• Find optimal settings

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Assistant for Multiple Regression

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What value does it provide?

► Regression is used everywhere

► Customers liked Minitab 16 Assistant, but only for 1X

► Easier for our users to:

• Find significant factors

• Conduct residuals analysis

• Identify outliers

• Find optimal settings

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Improved Graphical AnalysisEasier Dialogs + More Extensive Output

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What value does it provide?

► Better dialogs – e.g. shows categorical samples

► Diagnostic reports with guidance

► Report card with next steps

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Top EnhancementsRegression & GLM

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Easily specify factors

Automatic model selection

More graphsResponse optimizer

Regression

Binary Logistic

GLM

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What value does it provide?

► CONSISTENCY across regression and GLM

► Better workflow (e.g. stepwise > model fitting), plus new model dialog and “view model”

► More statistical features:

• Automatic model selection

• Prediction

• And more!

► More graphical features

• Factorial, contour and surface plots plus response optimizer

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Graphs include Binary Fitted Line Plot

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Top EnhancementsDesign of Experiments

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Automatic model selection

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Response Optimizer for General Factorial Designs (>2 levels)

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Response Surface with Categorical X’s

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Additional FeaturesAdditional Features

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DOE► Box-Cox for Factorial and RS

► Non-hierarchical models

► Effects, main effects and interaction plots can display all

terms, including terms removed from model

► Cube plots of fitted values available for reduced models

► Response optimizer:

• Constraints for Factorial and RS

• Doesn’t require min/max value

• Provides CI and PI tables

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► Assistant enhancements throughout

• Stacked data option for 2-sample tests

• Chi-Square Goodness-of-Fit up to 12 levels (from 6)

• Capability analysis for unequal subgroup sizes

• Before/after control charts, plus Laney charts

• And more…

► Bubble Plots

• Graph multiple variables in a 2D space

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► Outlier Tests

• Grubbs’ and Dixon’s

► Poisson Regression

• Model count data (Y), typically low counts/rare events

• Examples: number of machine failures, C-sections

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► Practical application

In 1898, Ladislaus Bortkiewicz’s investigation of the number of Prussian army soldiers killed by horse kicks

► Example

Residents in rural Tanzania are being attacked by lions, frequently resulting in severe injury and death

f (x) = yf (x) = yf (x) = yf (x) = yPoisson Regression

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Lunar Cycle Days

X’sX’sX’sX’sAbove/Below Horizon

YYYY

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► Equivalence Tests to determine if mean(s) are similar enough to be considered equivalent

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► Stability Studies

• Pharmaceuticals

• Determine shelf-life

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► Stacked and unstacked all-in-one menu

► Welch’s method

• For unequal variances

• First introduced in Minitab 16 Assistant

► Comparisons graphs

► Games-Howell comparisons method for unequal variances

One-Way ANOVA

Note: No Two-Way ANOVA menu

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► Chi-Square Test for Association

• New name for “Two-Way Table…”

• Raw or summarized data for 2-way tables

• Specify Session labels for 2-way tables

► Cross Tab and Chi-Square

• Raw or summarized/table data

• McNemar’s Test for 2x2 paired proportions

ΧΧΧΧ2222Chi-Square Tests

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► Round date/time

► Updated graph style and symbols

► Updated worksheet font and column formula/model symbols, plus ‘Missing’ indicator for text columns

► Minitab in Portuguese

• Plus English, French, Spanish, German, Simplified Chinese, Korean and Japanese (8 languages)

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Additional FeaturesDetails to Note

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► Tooltips for all menus

► Graphs no longer editable in Word or PowerPoint

► EDA menu no longer displayed by default

► New hypothesis test dialogs and output symbols

► Unstacked data option for Test for Equal Variances, and multiple

comparisons graph with new method replaces Bonferroni graph

► 2 Variances – graphical output, Bonett’s

► Correlation – added Spearman’s

► GLM > Results option to display coeffs

for all factor levels

► Fisher’s added to GLM Comparisons

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► DOE alpha switched to confidence level, from Graphs to Options

► Response optimizer displays composite desirability by default only

when >1 X

► Gage R&R default alpha for part*operator = 0.05

► Control Charts default stdev

• Rbar & Sbar default method for any charts that include R or S charts

(Xbar by itself uses pooled)

► Capability

• Overall statistics now provided 1st

• Control charts default stdev change affects Sixpack

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► Exponential distribution option for T charts

► Tolerance Interval graph includes achieved confidence for

nonparametric method

► Reliability default estimation method now maximum likelihood

► PSS for Equivalence Tests and Tolerance Intervals

► Balanced & General MANOVA combined into 1 dialog

► Manage Profiles includes DMAIC (Assistant)

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Training Updates

Intro to Minitab

Basic Statistics

Minitab Essentials

TRAINING

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Training Updates

► Other new course names

• Advanced Regr & ANOVA renamed “Statistical Modeling”

• Svc Quality Advanced renamed “Statistical Modeling”

► Tracks (future)

• Core 4

• SPC

• DOE

• Pharmaceuticals

• Medical Devices

• Etc.

TRAINING

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Pricing

•$1395•$1495

Single-user

•$595•$895

Upgrade

to

to

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February 18 Launch

Minitab 17 Analyze your data

Quality TrainerLearn statistics online

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Questions?

Michelle Paret

[email protected]

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Try or Buy Minitab 17

►Visit www.minitab17.com

►To contact us, visit www.minitab.com/contactsto find your local Minitab representative