SIGMA XL SOFTWARE OFFER (FOR SIX SIGMA STUDENTS ONLY)

Name: SIGMA XL SOFTWARE OFFER (FOR SIX SIGMA STUDENTS ONLY)
Brand: Greater Brighton Metropolitan College
Price: 150 GBP

Greater Brighton Metropolitan College

Course

Online

Price on request

Description

Type

Course

Methodology

Online

SigmaXL is a leading provider of user friendly Excel add-in tools for statistical and graphical analysis. Our flagship product, SigmaXL was designed from the ground up to be cost-effective, powerful, and easy to use.

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Subjects

Probability
Confidence Training
Design
Six Sigma

Course programme

Subset by Category, Random, Number, or Date

Transpose Data

Stack Subgroups Across Rows

Stack and Unstack Columns

Standardize Data

Random Number Generator

Normal
Uniform (Continuous & Integer)
Lognormal
Weibull
Triangular

Normal

Uniform (Continuous & Integer)

Lognormal

Weibull

Triangular

Data Preparation

Remove Blank Rows and Columns
Change Text Data Format to Numeric

Remove Blank Rows and Columns

Change Text Data Format to Numeric

Box-Cox Transformation

DMAIC & DFSS Templates

Team/Project Charter
SIPOC Diagram
Flowchart Toolbar
Data Measurement Plan
Cause & Effect (Fishbone) Diagram and Quick Template
Failure Mode & Effects Analysis (FMEA) with RPN Sort
Quality Function Deployment (QFD)
Pugh Concept Selection Matrix
Control Plan

Team/Project Charter

SIPOC Diagram

Flowchart Toolbar

Data Measurement Plan

Cause & Effect (Fishbone) Diagram and Quick Template

Failure Mode & Effects Analysis (FMEA) with RPN Sort

Quality Function Deployment (QFD)

Pugh Concept Selection Matrix

Control Plan

Lean Templates

Takt Time Calculator
Value Analysis/Process Load Balance
Value Stream Mapping

Takt Time Calculator

Value Analysis/Process Load Balance

Value Stream Mapping

Graphical Templates

Pareto Chart
Histogram
Run Chart

Pareto Chart

Histogram

Run Chart

Statistical Templates

Sample Size Discrete and Continuous
Minimum Sample Size for Robust t-Tests and ANOVA**
1 Sample t-Test and Confidence Interval for Mean*
2 Sample t-Test and Confidence Interval (Compare 2 Means)*
1 Sample Chi-Square Test and CI for Standard Deviation*
2 Sample F-Test and CI (Compare 2 Standard Deviations) *
1 Proportion Test and Confidence Interval*
2 Proportion Tests and Confidence Interval*
1 Poisson Rate Test and Confidence Interval**
2 Poisson Rates Test and Confidence Interval**
One-Way Chi-Square and Goodness of Fit Test**

Sample Size Discrete and Continuous

Minimum Sample Size for Robust t-Tests and ANOVA**

1 Sample t-Test and Confidence Interval for Mean*

2 Sample t-Test and Confidence Interval (Compare 2 Means)*

1 Sample Chi-Square Test and CI for Standard Deviation*

2 Sample F-Test and CI (Compare 2 Standard Deviations) *

1 Proportion Test and Confidence Interval*

2 Proportion Tests and Confidence Interval*

1 Poisson Rate Test and Confidence Interval**

2 Poisson Rates Test and Confidence Interval**

One-Way Chi-Square and Goodness of Fit Test**

Probability Distribution Calculators

Normal, Lognormal, Exponential, Weibull
Binomial, Poisson, Hypergeometric

Normal, Lognormal, Exponential, Weibull

Binomial, Poisson, Hypergeometric

MSA Templates

Gage R&R Study with Multi-Vari Analysis
Attribute Gage R&R (Attribute Agreement Analysis)

Gage R&R Study with Multi-Vari Analysis

Attribute Gage R&R (Attribute Agreement Analysis)

Process Sigma Level Discrete and Continuous

Process Capability & Confidence Intervals

DOE Templates

2 to 5 Factors
2-Level Full and Fractional-Factorial designs
Main Effects & Interaction Plots

2 to 5 Factors

2-Level Full and Fractional-Factorial designs

Main Effects & Interaction Plots

Control Chart Templates

Individuals
C-Chart

Individuals

C-Chart

Basic and Advanced (Multiple) Pareto Charts

EZ-Pivot/Pivot Charts: Easily create Pivot Tables and Charts

Basic Histogram

Multiple Histograms and Descriptive Statistics (includes Confidence Interval for Mean and StDev., and Anderson-Darling Normality Test)

Multiple Histograms and Process Capability (Pp, Ppk, Cpm, ppm, %)

Multiple Boxplots, Dotplots

Run Charts (with Nonparametric Runs Test allowing you to test for Clustering, Mixtures, Lack of Randomness, Trends and Oscillation)

Overlay Run Chart

Multiple Normal Probability Plots (with 95% confidence intervals to ease interpretation of normality/non-normality)

Multi-Vari Charts

Scatter Plots (with linear regression and optional 95% confidence intervals and prediction intervals)

Scatter Plot Matrix

Create Gage R&R (Crossed) Worksheet:

Generate worksheet with user specified number of parts, operators, replicates

Generate worksheet with user specified number of parts, operators, replicates

Analyze Gage R&R (Crossed)

ANOVA, %Total, %Tolerance (with upper and/or lower specifications), %Process, Variance Components, Number of Distinct Categories
Gage R&R Multi-Vari and X-bar R Charts
Confidence Intervals for %Total, %Tolerance, %Process and Standard Deviations Handles unbalanced data

ANOVA, %Total, %Tolerance (with upper and/or lower specifications), %Process, Variance Components, Number of Distinct Categories

Gage R&R Multi-Vari and X-bar R Charts

Confidence Intervals for %Total, %Tolerance, %Process and Standard Deviations Handles unbalanced data

Attribute MSA (Binary)

Any number of samples, appraisers and replicates
Within Appraiser Agreement, Each Appraiser vs Standard Agreement, Each Appraiser vs Standard Disagreement, Between Appraiser Agreement, All Appraisers vs Standard Agreement; Fleiss' kappa

Any number of samples, appraisers and replicates

Within Appraiser Agreement, Each Appraiser vs Standard Agreement, Each Appraiser vs Standard Disagreement, Between Appraiser Agreement, All Appraisers vs Standard Agreement; Fleiss' kappa

Multiple Histograms and Process Capability

Histogram, Normal Probability Plot and Normality Test

Histogram, Normal Probability Plot and Normality Test
Capability Report (Cp, Cpk, Pp, Ppk, Cpm, ppm, %)
Control Chartsy

Histogram, Normal Probability Plot and Normality Test

Capability Report (Cp, Cpk, Pp, Ppk, Cpm, ppm, %)

Control Chartsy

Capability Combination Report for Nonnormal Data (Individuals)

Box-Cox Transformation (includes an automatic threshold option so that data with negative values can be transformed)
Johnson Transformation
Distributions supported: Half-Normal, Lognormal (2 & 3 parameter), Exponential (1 & 2), Weibull (2 & 3), Beta (2 & 4), Gamma (2 & 3), Logistic, Loglogistic (2 & 3), Largest Extreme Value, Smallest Extreme Value
Nonnormal Process Capability Indices: Z-Score (Cp, Cpk, Pp, Ppk) and Percentile (ISO) Method (Pp, Ppk)

Box-Cox Transformation (includes an automatic threshold option so that data with negative values can be transformed)

Johnson Transformation

Distributions supported: Half-Normal, Lognormal (2 & 3 parameter), Exponential (1 & 2), Weibull (2 & 3), Beta (2 & 4), Gamma (2 & 3), Logistic, Loglogistic (2 & 3), Largest Extreme Value, Smallest Extreme Value

Nonnormal Process Capability Indices: Z-Score (Cp, Cpk, Pp, Ppk) and Percentile (ISO) Method (Pp, Ppk)

Distribution Fitting Report

All valid distributions and transformations reported with histograms, curve fit and probability plots
Within Appraiser Agreement, Each Appraiser vs Standard Agreement, Each Appraiser vs Standard Disagreement, Between Appraiser Agreement, All Appraisers vs Standard Agreement; Fleiss' kappa

All valid distributions and transformations reported with histograms, curve fit and probability plots

Within Appraiser Agreement, Each Appraiser vs Standard Agreement, Each Appraiser vs Standard Disagreement, Between Appraiser Agreement, All Appraisers vs Standard Agreement; Fleiss' kappa

P-values turn red when results are significant (p-value < alpha)

Descriptive Statistics including Anderson-Darling Normality test, Skewness and Kurtosis with p-values

Confidence Intervals

1 Sample t-test

2 Sample t-test, Paired t-test

2 Sample comparison tests:

Reports AD Normality, F-test and Levenes for variance, t-test assuming equal and unequal variance, Mann-Whitney test for medians.
Recommended tests are highlighted based on sample size, normality, and variance

Reports AD Normality, F-test and Levenes for variance, t-test assuming equal and unequal variance, Mann-Whitney test for medians.

Recommended tests are highlighted based on sample size, normality, and variance

One-Way ANOVA and Means Matrix

Two-Way ANOVA (Balanced and Unbalanced)

Equal Variance Tests (Bartlett, Levene and Welchs ANOVA)

Correlation Matrix (Pearson and Spearmans Rank Correlation)

Multiple Linear Regression:

Accepts continuous and/or categorical (discrete) predictors
Interactive Predicted Response Calculator with 95% Confidence Interval and 95% Prediction Interval
Residual Plots: histogram, normal probability plot, residuals vs. time, residuals vs. predicted and residuals vs. X factors
Residual types include Regular, Standardized, Studentized (Deleted t) and Cook's Distance (Influence), Leverage and DFITS
Highlight of significant outliers in residuals
Durbin-Watson Test for Autocorrelation in Residuals with p-value
ANOVA report for categorical predictors
Pure Error and Lack-of-Fit report
Fit Intercept is optional

Accepts continuous and/or categorical (discrete) predictors

Interactive Predicted Response Calculator with 95% Confidence Interval and 95% Prediction Interval

Residual Plots: histogram, normal probability plot, residuals vs. time, residuals vs. predicted and residuals vs. X factors

Residual types include Regular, Standardized, Studentized (Deleted t) and Cook's Distance (Influence), Leverage and DFITS

Highlight of significant outliers in residuals

Durbin-Watson Test for Autocorrelation in Residuals with p-value

ANOVA report for categorical predictors

Pure Error and Lack-of-Fit report

Fit Intercept is optional

Binary and Ordinal Logistic Regression

Powerful and user-friendly logistic regression.
Report includes a calculator to predict the response event probability for a given set of input X values.
Categorical (discrete) predictors can be included in the model in addition to continuous predictors.
Model summary and goodness of fit tests include Likelihood Ratio Chi-Square, Pseudo R-Square, Pearson Residuals Chi-Square, Deviance Residuals Chi-Square, Observed and Predicted Outcomes Percent Correctly Predicted.
Stored data includes Event Probabilities, Predicted Outcome, Observed-Predicted, Pearson Residuals, Standardized Pearson Residuals, and Deviance Residuals.
Mixing Down to a CD

Powerful and user-friendly logistic regression.

Report includes a calculator to predict the response event probability for a given set of input X values.

Categorical (discrete) predictors can be included in the model in addition to continuous predictors.

Model summary and goodness of fit tests include Likelihood Ratio Chi-Square, Pseudo R-Square, Pearson Residuals Chi-Square, Deviance Residuals Chi-Square, Observed and Predicted Outcomes Percent Correctly Predicted.

Stored data includes Event Probabilities, Predicted Outcome, Observed-Predicted, Pearson Residuals, Standardized Pearson Residuals, and Deviance Residuals.

Mixing Down to a CD

Chi-Square Test (Stacked Column data and Two-Way Table data)

Nonparametric Tests:

1 Sample Sign and 1 Sample Wilcoxon
2 Sample Mann-Whitney
Kruskal-Wallis and Moods Median Test
Kruskal-Wallis and Moods include a graph of Group Medians and 95% Median Confidence Intervals
Runs Test

1 Sample Sign and 1 Sample Wilcoxon

2 Sample Mann-Whitney

Kruskal-Wallis and Moods Median Test

Kruskal-Wallis and Moods include a graph of Group Medians and 95% Median Confidence Intervals

Runs Test

Power and Sample Size Calculators for:

1 Sample t-Test, 2 Sample t-Test
One-Way ANOVA
1 Proportion Test, 2 Proportions Test
The Power and Sample Size Calculators allow you to solve for Power (1 Beta), Sample Size, or Difference (specify two, solve for the third).

1 Sample t-Test, 2 Sample t-Test

One-Way ANOVA

1 Proportion Test, 2 Proportions Test

The Power and Sample Size Calculators allow you to solve for Power (1 Beta), Sample Size, or Difference (specify two, solve for the third).

Power and Sample Size Chart. Quickly create a graph showing the relationship between Power, Sample Size and Difference.

Generate 2-Level Factorial and Plackett-Burman Screening Designs

User-friendly dialog box
2 to 19 Factors; 4,8,12,16,20 Runs
Unique view power analysis as you design
Randomization, Replication, Blocking and Center Points

User-friendly dialog box

2 to 19 Factors; 4,8,12,16,20 Runs

Unique view power analysis as you design

Randomization, Replication, Blocking and Center Points

Basic DOE Templates

2 to 5 Factors, 2-Level Full and Fractional-Factorial designs
Automatic update to Pareto of Coefficients
Easy to use, ideal for training part

2 to 5 Factors, 2-Level Full and Fractional-Factorial designs

Automatic update to Pareto of Coefficients

Easy to use, ideal for training part

Main Effects & Interaction Plots

Analyze 2-Level Factorial and Plackett-Burman Screening Designs

Used in conjunction with Recall Last Dialog, it is very easy to iteratively remove terms from the model
Interactive Predicted Response Calculator with 95% Confidence Interval and 95% Prediction Interval.
ANOVA report for Blocks, Pure Error, Lack-of-Fit and Curvature
Collinearity Variance Inflation Factor (VIF) and Tolerance report
Residual plots: histogram, normal probability plot, residuals vs. time, residuals vs. predicted and residuals vs. X factors
Highlight of significant outliers in residuals
Durbin-Watson Test for Autocorrelation

Used in conjunction with Recall Last Dialog, it is very easy to iteratively remove terms from the model

Interactive Predicted Response Calculator with 95% Confidence Interval and 95% Prediction Interval.

ANOVA report for Blocks, Pure Error, Lack-of-Fit and Curvature

Collinearity Variance Inflation Factor (VIF) and Tolerance report

Residual plots: histogram, normal probability plot, residuals vs. time, residuals vs. predicted and residuals vs. X factors

Highlight of significant outliers in residuals

Durbin-Watson Test for Autocorrelation

Contour & 3D Surface Plots

Response Surface Designs

2 to 5 Factors
Central Composite and Box-Behnken Designs
Easy to use design selection sorted by number of runs

2 to 5 Factors

Central Composite and Box-Behnken Designs

Easy to use design selection sorted by number of runs

Control Chart Selection Tool

Individuals

X-Bar & R, X-Bar & S

I-MR-R, I-MR-S (Between/Within)

P, NP, C, U

P and U (Laney) to handle overdispersion

Control charts include a report on tests for special causes. Special causes are also labeled on the control chart data point. Set defaults to apply any or all of Tests 1-8.l

Process Capability report (Pp, Ppk, Cp, Cpk) is available for I, I-MR, X-Bar & R, X-bar & S charts.Add data to existing charts for operator ease of use!

Advanced Control Limit options: Subgroup Start and End; Historical Groups (e.g. split control limits to demonstrate before and after improvement)

Exclude data points for control limit calculation

Add comment to data point for assignable cause

1, 2 Sigma Zone Lines

Control charts for Nonnormal data (Individuals)

Box-Cox and Johnson Transformations
16 Nonnormal distributions supported (see Process Capability)
Individuals chart of original data with percentile based control limits
Individuals/Moving Range chart for normalized data with optional tests for special causes

Box-Cox and Johnson Transformations

16 Nonnormal distributions supported (see Process Capability)

Individuals chart of original data with percentile based control limits

Individuals/Moving Range chart for normalized data with optional tests for special causes

Complete and Right Censored data

Complete and Right Censored data
Least Squares and Maximum Likelihood
Output includes percentiles with confidence intervals, survival probabilities, and Weibull probability plot.

Complete and Right Censored data

Least Squares and Maximum Likelihood

Output includes percentiles with confidence intervals, survival probabilities, and Weibull probability plot.

SIGMA XL SOFTWARE OFFER (FOR SIX SIGMA STUDENTS ONLY)

Price on request

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SIGMA XL SOFTWARE OFFER (FOR SIX SIGMA STUDENTS ONLY)

Questions & Answers

Reviews

Subjects

Course programme

Add similar courses
and compare them to help you choose.

SIGMA XL SOFTWARE OFFER (FOR SIX SIGMA STUDENTS ONLY)

Questions & Answers

Reviews

Subjects

Course programme

Add similar coursesand compare them to help you choose.

Add similar courses
and compare them to help you choose.