the basics of sigmaxl

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An introduction to some of the basic functions of SigmaXL Established in 1998, SigmaXL Inc. is a leading provider of user friendly Excel Add-ins for Lean Six Sigma graphical and statistical tools and Monte Carlo simulation. SigmaXL® customers include market leaders like Agilent, Diebold, FedEx, Microsoft, Motorola and Shell. SigmaXL® software is also used by numerous colleges, universities and government agencies. Our flagship product, SigmaXL®, was designed from the ground up to be a cost-effective, powerful, but easy to use tool that enables users to measure, analyze, improve and control their service, transactional, and manufacturing processes. As an add-in to the already familiar Microsoft Excel, SigmaXL® is ideal for Lean Six Sigma training and application, or use in a college statistics course.  DiscoverSim™ enables you to quantify your risk through Monte Carlo simulation and minimize your risk with global optimization. Business decisions are often based on assumptions with a single point value estimate or an average, resulting in unexpected outcomes. DiscoverSim™ allows you to model the uncertainty in your inputs so that you know what to expect in your outputs.

TRANSCRIPT

Page 1: The basics of SigmaXL

The Basics - SigmaXL®

Version 6.1

Introducing SigmaXL®

Why SigmaXL?

What’s Unique to SigmaXL?

Recall Last Dialog

Worksheet Manager

Data Manipulation

Page 2: The basics of SigmaXL

Back to Index

Page 3: The basics of SigmaXL

Introducing SigmaXL®

Version 6.1

Powerful.

User-Friendly.

Cost-Effective. Priced at $249, SigmaXL is a fraction

of the cost of any major statistical product, yet it has

all the functionality most professionals need.

Quantity, Educational, and Training discounts are

available.

Visit www.SigmaXL.com or call

1-888-SigmaXL (1-888-744-6295) for more

information. Back to Index

Page 4: The basics of SigmaXL

Why SigmaXL?

Measure, Analyze, and Control your Manufacturing, Service, or Transactional Process.

An add-in to the already familiar Microsoft Excel, making it a great tool for Lean Six Sigma training. Used by Motorola University and other leading consultants.

SigmaXL is rapidly becoming the tool of choice for Quality and Business Professionals.

Back to Index

Page 5: The basics of SigmaXL

What’s Unique to

SigmaXL?

User-friendly Design of Experiments with “view power analysis as you design”.

Measurement Systems Analysis with Confidence Intervals.

Two-sample comparison test - automatically tests for normality, equal variance, means, and medians, and provides a rules-based yellow highlight to aid the user in interpretation of the output.

Low p-values are highlighted in red indicating that results are significant.

Back to Index

Page 6: The basics of SigmaXL

What’s Unique to

SigmaXL?

Powerful Excel Worksheet Manager List all open Excel workbooks

Display all worksheets and chart sheets in selected workbook

Quickly select worksheet or chart sheet of interest

Process Capability and Control Charts for Nonnormal data Best fit automatically selects the best distribution or transformation!

Nonnormal Process Capability Indices include Pp, Ppk, Cp, and Cpk

Box-Cox Transformation with Threshold so that data with zero or negative values can be transformed!

Back to Index

Page 7: The basics of SigmaXL

Recall Last Dialog

Recall SigmaXL Dialog

This will activate the last data worksheet and recall

the last dialog, making it very easy to do repetitive

analysis.

Activate Last Worksheet

This will activate the last data worksheet used

without recalling the dialog.

Back to Index

Page 8: The basics of SigmaXL

Worksheet Manager

List all open Excel

workbooks

Display all worksheets

and chart sheets in

selected workbook

Quickly select

worksheet or chart

sheet of interest

Back to Index

Page 9: The basics of SigmaXL

Data Manipulation

Subset by Category, Number, or Date

Random Subset

Stack and Unstack Columns

Stack Subgroups Across Rows

Standardize Data

Random Number Generators

Normal, Uniform (Continuous & Integer), Lognormal, Exponential, Weibull and Triangular.

Box-Cox Transformation Back to Index