Six Sigma Advanced Tools

ISBN-10: 0071434119

ISBN-13: 9780071434119

Edition: 2004

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Book details

List price: $14.00
Copyright year: 2004
Publisher: McGraw-Hill Companies, The
Publication date: 7/20/2004
Binding: Comb Bound 
Pages: 240
Size: 4.00" wide x 5.50" long x 0.50" tall
Weight: 0.286
Language: English

Introduction
Tool Selection Guide
Minitab Commands
Excel Statistical Functions
Probability Distributions
What Is a Probability Distribution?
Application of Probability Distributions in Six Sigma
Discrete Probability Distributions
Binomial Distributions
Poisson Distribution
Continuous Probability Distributions
Normal Distribution
Exponential Distribution
Weibull Distribution
Probability Plots
Transforming Non-Normal Data to Normal
Box-Cox Transformation
How to Use Probability Distributions
Sampling
Why Use Sampling?
Application of Sampling in Six Sigma
Sample Types
Sampling Terminology
Types of Population Data
What Affects Sample Size?
Confidence
Sampling Techniques
Simple Random Sample
Stratified Random Sample
Systematic Sampling
Formulas Used for Determining Sample Size
Allocating Samples for Stratified Random Sampling
Risk-Based Allocation Approach
Neyman Allocation Method
Determining Sample Sizes for Hypothesis Tests
How to Estimate Sample Size
Confidence Intervals
What Is a Confidence Interval?
Application of Confidence Intervals in Six Sigma
Confidence Interval for the Mean
Mean Estimation--Standard Deviation ([sigma]) Is Known
Mean Estimation--Standard Deviation ([sigma]) Unknown
Confidence Interval for Proportions
Confidence Interval for the Variance of a Normal Distribution
How to Determine Confidence Intervals
Hypothesis Testing
What Is Hypothesis Testing?
Application of Hypothesis Testing in Six Sigma
Types of Hypothesis Tests
Two-Tailed Hypothesis Tests
One-Tailed Hypothesis Tests
Decision Errors and Hypothesis Testing
Type I Error
Type II Error
Significance Level and the Power of the Hypothesis Test
Decision Rules
Converting Alpha Risk to Z-Values
P-Values
Hypothesis Tests of the Mean
Z-Test
Two-Sample Z-Test
Paired Z-Test
t-Test
Two-Sample t-Test
Paired t-Test
Hypothesis Tests of Proportions
Single Proportion Test
Two-Sample Proportion Test
Hypothesis Tests of Variance
X[superscript 2] Test
F-Test
How to Perform Hypothesis Testing
Control Charts
What Are Control Charts?
Application of Control Charts to Six Sigma
How to Use Control Charts
Control Charts for Discrete (Attribute) Data
p Chart
np Chart
c Chart
u Chart
Control Charts for Continuous Data
Individuals Chart
Moving Range (MR) Chart
Range (R) Chart
x Chart
EWMA Chart
How to Create and Use Control Charts
Correlation Analysis
What Is Correlation Analysis
Application of Correlation Analysis in Six Sigma
Scatter Plots
Correlation Matrix
Significance of the Correlation Analysis
How to Perform Correlation Analysis
Regression Analysis
What Is Regression Analysis?
Application of Regression Analysis in Six Sigma
Simple Linear Regression
How to Interpret Regression Analysis Results
Confidence and Prediction Intervals
How Do We Know That Our Regression Model Is Good Enough to Use?
P-Value (X-Variable Coefficient)
r[superscript 2]--Coefficient of Determination
Using Residual and Normal Probability Plots to Validate Regression Models
Interpreting Residual Plots
Multiple Regression
Multicollinearity
Variance Inflation Factor (VIF)
Systematic Procedure for VIF [greater than sign] 10
Regression ANOVA
Model Validation
Interpreting the Regression Output
Interpreting the Regression Output of the Reduced Model (Weight, Volume, and Distance)
Interpreting the Regression Output of the Reduced Model (Volume and Distance)
Multiple Regression Analysis Using Qualitative Input Variables
Interpreting Regression Output When Using Qualitative Variables
Curvilinear Regression
How to Perform Regression Analysis
Design of Experiments
What Is Design of Experiments?
Application of Design of Experiments in Six Sigma
Factorial Experiments
Design Terminology
Design Fundamentals
Full Factorial Design
How Do I Know Which Process Factors Are Significant?
Pareto Chart of Standardized Effects
How Can We Determine the Value of the Significant Effects?
Predicting Process Output Using the Results of Our Factorial Experiment
Randomization and Blocking
Randomization
Randomized Block Design (Blocking)
Fractional Factorial Designs
Confounding and Design Resolution
Design Resolution
Design Notation
How to Perform a DOE
Analysis of Variance (ANOVA)
What Is Analysiss of Variance?
Application of ANOVA in Six Sigma
One-Way ANOVA
How to Read a One-Way ANOVA Table
Two-Way ANOVA
Two-Way ANOVA with Replication--Interaction Effects
How to Read a Two-Way ANOVA Table
Nested ANOVA
Variance Components
Analysis of Means
Main Effects Plots
Interaction Plots
Interval Plots
Balanced ANOVA and General Linear Models (GLM)
How to Perform Analysis of Variance (ANOVA)
References
Glossary of Terms
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