To sign up for a Web Demo email
Web_Demo@SigmaXL.com with "Web Demo"
and the name of the demo as the Subject.
Wednesday, September 15, 2010 2-3 p.m. EDT
How to Deal With
Nonnormal Data
in Process
Improvement
Projects
Presenter: John
Noguera,
co-founder and
CTO of SigmaXL
This webinar
will cover the
real world
issues around
dealing with
Nonnormal data
in process
improvement
projects. Topics
will include:
- When do I need
to worry about
Nonnormal data
(i.e., is the
Central Limit
Theorem working
for me)?
- Guidelines on
sample size for
central limit
theorem to work
(for mild,
moderate and
severe skewness)
- Guidelines on
sample size to
detect and deal
with Nonnormal
data
- Do I
have Outliers
or Inherently Nonnormal data?
- Do I need
to stratify to
deal with a
bimodal distribution?
- How do I
deal with Nonnormality due
to measurement
discrimination
(“chunky” data)?
- SigmaXL
tools to detect
Nonnormality.
- SigmaXL
tools to deal
with Nonnormality.
Demonstration:
40-50 minutes
Q&A: 10 minutes
This is an
intermediate
level
presentation.
Participants
should already
be familiar with
descriptive
statistics, the
Central Limit
Theorem and
tools such as
Hypothesis
Testing, Process
Capability and
Control Charts.
Note: Any web
demo can be
scheduled,
customized and
presented to
companies or
organizations
interested in
SigmaXL
* Space is
limited. SigmaXL
reserves the
right to change
times and topics
depending on
demand
Wednesday Dec 23,
2-3 pm
Case Study:
Using SigmaXL
and DMAIC to
Improve Customer
Satisfaction*
We demonstrate
how SigmaXL’s
user-friendly
and powerful
graphical and
statistical
tools were used
to identify key
drivers linked
to customer
satisfaction,
including:
· Basic Data
Manipulation
Descriptive
Statistics
Histograms
Process
Capability for
Normal and
Nonnormal Data
Pareto Charts
Boxplots
Multi-Vari
Charts
Hypothesis
Testing – ANOVA
Scatter Plots
and Scatter Plot
Matrix
Multiple Linear
Regression
Hypothesis
Testing 2 Sample
Comparison:
“before
improvement”
versus “after
improvement”
Control charts
with split
limits also
clearly show the
“before
improvement”
versus “after
improvement”
results.
Case Study: 50
Minutes
Q & A: 10
Minutes
Note: Any
web demo can be scheduled, customized and presented to companies or organizations
interested in SigmaXL
Wednesday Sept.
30, 2-3 pm
Introduction to
SigmaXL Version
6
By: John
Noguera, CTO and
cofounder,
SigmaXL Inc.
This webinar
will introduce
the powerful and
user friendly
features in
SigmaXL Version
6. This
includes an
overview of:
Powerful Excel
Workbook/Worksheet
Manager
Lean Value
Stream Mapping
Template
Process
Capability and
Control Charts
for Nonnormal
data with
Automatic Best
Fit
Distribution
Fitting Report
Response Surface
Design of
Experiments
Contour and 3D
Surface Plots
New Statistical
Calculators
New Probability
Distribution
Calculators
New Random
Number
Generators
Demonstration:
40-50 minutes
Q&A: 10 minutes
Wednesday Oct 7,
2-3 pm
Case Study:
Using SigmaXL
and DMAIC to
Improve Customer
Satisfaction
We demonstrate
how SigmaXL’s
user-friendly
and powerful
graphical and
statistical
tools were used
to identify key
drivers linked
to customer
satisfaction,
including:
Powerful Excel
Workbook/Worksheet
Manager
Lean Value
Stream Mapping
Template
Process
Capability and
Control Charts
for Nonnormal
data with
Automatic Best
Fit
Distribution
Fitting Report
Response Surface
Design of
Experiments
Contour and 3D
Surface Plots
New Statistical
Calculators
New Probability
Distribution
Calculators
New Random
Number
Generators
Case Study: 50
Minutes
Q & A: 10
Minutes
Wednesday Oct
14, 2-3 pm
Process
Capability and
Statistical
Process Control
(SPC) with
SigmaXL
We demonstrate
and explain
SigmaXL's
Process
Capability and
Statistical
Process Control
features
including:
Capability
Combination
Report
Process
Capability for
Nonnormal Data
Control Charts
for Normal and
Nonnormal data
Control Chart
features: Split
Limits, Exclude
Data, Add
Comment
Demonstration:
40-50 minutes
Q&A: 10 minutes
Wednesday Oct
21, 2-3 pm
Multiple
Regression and
Design of
Experiments
(DOE) with
SigmaXL
We demonstrate
and show how to
use SigmaXL's
user-friendly
and powerful
Multiple
Regression and
DOE tools:
Multiple
Regression
Design of
Experiments
Templates
Full and
Fractional
Factorial
Designs
Response Surface
Methods
Contour and 3D
Surface Plots
· Demonstration:
40-50 minutes
Q&A: 10 minutes
