1. Jon Schultz Minitab Inc.
What’s New in Minitab 17?
Jon Schultz
Minitab Inc.

2. Welcome to Minitab 17!
Minitab 17 offers many new features and enhancements including improvements to:
Data Manipulation Assistant Regression, GLM, DOE
Plus, updated styling for all graphics
(new in Minitab 17.2)

3. Manipulating & Exploring Data
Top Enhancements

4. DATA comments formatting stacking sorting subsetting highlighting
Introduction to Minitab – navigation, data manipulation and graphical analysis
highlighting
70%-90% of time spent manipulating data

5. Stack Worksheets Data > Stack Worksheets
Stack data from multiple worksheets into one
Can specify order of stacked data
Data > Stack Worksheets

6. Data Coding Improvements
Easily identify and correct data entry errors
Code numbers into meaningful values
Simplified menu choices (reduced from 10 to 4 menus)
Automatically recognizes current values
Additional storage options
Data > Code

7. Just right-click on your data to…
With the option to undo (control-z) and redo (control-y) changes to a given worksheet

8. Change Column Formats e.g. easily convert TEXT column to NUMERIC
No longer have to use Data menu – can change format directly in the worksheet
Can change data type and format all at once
Right-click > Format Column

9. Format Data using a Condition
Right-click > Conditional Formatting

10. Sort and Subset Sort and Subset available via right-click
Dialog improvements, plus option to sort and subset based on conditional formats
Ability to sort and subset worksheets with unequal column lengths

11. Cell Formats and Comments]
can be used to highlight cells, or entire rows and columns
Right-click > Cell Properties

12. The Assistant
Top Enhancements

13. Making Data Analysis Even Easier
Over the years, customers have told us:
“I don’t know which tool to use”
“The dialogs are too technical”
“Minitab has too many options”
“I need help interpreting my results”

14. Graphs Regres-sion DOE
ASSISTANT
Graphs
Capability
Regres-sion
Hypothesis Tests
MSA
DOE
Control Charts
Designed for Green/Black Belts, occasional users, and those
who are new to statistics or Minitab

15. Modeling designs (x & x2)
Assistant for DOE
DOE easier than ever
Most requested Assistant feature
Screening designs
Modeling designs (x & x2)
6-15 factors
The Assistant DOE tools reflect a sequential approach to the experimentation process. To support this approach, we provide a screening design and a modeling design. The objective of the screening design is to analyze the main effects of 6 to 15 factors and help you identify the factors that have greatest influence on the response. The modeling design analyzes 2 to 5 critical factors (both linear and quadratic models) to find optimal settings for your process.
Note: Designs created in the Assistant can also be analyzed using core Minitab.
2-5 factors 2

16. Assistant for Multiple Regression
Up to 5 X’s (with 1 categorical X)
By default, includes 2-way interactions and quadratic terms (see dialog check box)

17. Regression & GLM
Top Enhancements

18. Easily specify factors Automatic model selection More graphs Response
Regression
Binary Logistic Regression
GLM
Easily specify factors
Automatic model selection
More graphs
Response
optimizer
Linear models overhaul includes:
Model builder – easier way to specify model
Don’t have to do stepwise > back to regression, and can include categorical x’s
Predict with categorical dropdowns
Optimizer
Saves model throughout
Mention Binary Logistic Regr and GLM
View model buttons and new toolbars

19. Design of Experiments
Top Enhancements

20. Automatic model selection
Yield.mtw

21. Response Optimizer for General Factorial Designs (>2 levels)
(with no inputs required for maximizing or minimizing a response)

22. Response Surface with Categorical X’s

23. Additional Features
Additional Features

24. Bubble Plots
Graph multiple variables in a 2D space

25. Automatic Footnotes for Excluded Data
Available for the Graph menu and Control Charts

26. New graph update status symbols
Round date/time
Minitab in Portuguese
Plus English, French, Spanish, German, Simplified Chinese, Korean and Japanese (8 languages)

27. Additional Assistant Improvements
Expanded Graphical Analysis results
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 plot: Graph 3 (or more) variables in a 2D space – plot X and Y with bubble size to represent a third variable.

28. Outlier Tests – Grubbs’ and Dixon’s
Outlier tests: Use these new outlier test(s) to detect outliers in a dataset

29. y = f (x) Poisson Regression
Model count data (Y), typically low counts/rare events
Examples: number of machine failures or C-sections per time period
Historical application
In 1898, Ladislaus Bortkiewicz’s investigation of the number of Prussian army soldiers killed by horse kicks
Poisson regression: Similar to other regression tools, use Poisson regression to model count data (instead of a continuous Y) in a finite observations space (e.g. time period). Examples of count data include the number of machine failures or c-sections per day.
Using Poisson regression ensures predictions are positive.

30. Equivalence Tests
Determine if mean(s) are similar enough to be considered equivalent
Equivalence tests: Pharmaceutical and food industries typically. These tests are used to determine if the mean(s) are similar enough to be considered equivalent, accounting for the fact that small differences may not be practically important. For example, you can use a 2-sample equivalence test to determine if the mean of a test product is equivalent to the mean of a reference product (e.g. generic vs. established drug, cheaper material vs. original material), where a significant p-value indicates equivalence.
Ex. Traditional t-test H0: mean= vs H1: mean≠600
Ex. Equivalence t-test H0: mean≤598 or mean≥602 vs. H1: 598<mean<602
2x2 Crossover is a two sample procedure used in drug testing. You take drug 1, then after some time period, take drug 2. There may be some carryover effect due to the 1st drug still being in your system when you take the 2nd drug.

31. Stability Studies Used in Pharma to determine shelf-life
Stability studies: Used by the pharmaceutical market, stability studies are used to evaluate concentration data to determine the shelf life of a drug product (e.g. Y=drug concentration, X=time).
Initial model: Time + Batch + Time*Batch

32. 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

33. One-Way ANOVA Stacked and unstacked all-in-one menu Welch’s method
For unequal variances
First introduced in Minitab 16 Assistant
Comparisons graphs
Note: No Two-Way ANOVA menu

34. C2 Chi-Square Tests 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

35. Quality Trainer updated for Minitab 17
Learn statistics online

36. Questions?
Jon Schultz

37. Try Minitab 17 Visit www.minitab17.com
Visit to find your local Minitab representative and contact us