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SAS 9.2 Documentation
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SAS/QC(R) 9.2 User's Guide
PDF
Contents
About
Acknowledgments
Credits
Documentation
Software
Support Groups
Acknowledgments
What's New in SAS/QC
Using This Book
Overview
Organization
Typographical Conventions
Conventions for Examples
Accessing the SAS/QC Sample Library
Online Documentation
Part 1 General Information
Components of SAS/QC Software
Overview
ADX Interface for Design of Experiments
SQC Menu System for Statistical Quality Control
Procedures for Design of Experiments
Procedures for Control Chart Analysis
Procedure for Process Capability Analysis
Procedures for Basic Quality Problem Solving
Procedure for Reliability Analysis
Procedure for Analysis of Means
SAS/QC Graphics
Overview
Which Graphics Approach Should You Use?
Traditional Graphics
ODS Graphics - Experimental
Legacy Line Printer Displays
Part 2 The ANOM Procedure
PROC ANOM and General Statements
Overview
Uses of Analysis of Means
Terminology
History
Using the ANOM Procedure
Syntax Overview for the ANOM Procedure
BY and ID Statements
Graphical Enhancement Statements
Syntax for the PROC ANOM Statement
BOXCHART Statement
Overview
Getting Started
Creating ANOM Boxcharts from Response Values
Creating ANOM Boxcharts from Group Summary Data
Saving Summary Statistics for Groups
Saving Decision Limits
Syntax
Summary of Options
Details
Constructing ANOM Boxcharts
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 4.1: ANOM Boxcharts with Unequal Group Sizes
PCHART Statement
Overview
Getting Started
Creating ANOM Charts for Proportions from Group Counts
Creating ANOM Charts for Proportions from Group Summary Data
Saving Group Proportions
Saving Decision Limits
Syntax
Summary of Options
Details
Constructing ANOM Charts for Proportions
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 5.1: ANOM Charts with Angled Axis Labels
UCHART Statement
Overview
Getting Started
Creating ANOM Charts for Rates from Group Counts
Saving Decision Limits
Syntax
Summary of Options
Details
Constructing ANOM Charts for Rates
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 6.1: ANOM u Charts with Angled Axis Labels
XCHART Statement
Overview
Getting Started
Creating ANOM Charts for Means from Response Values
Creating ANOM Charts for Means from Group Summary Data
Saving Summary Statistics for Groups
Saving Decision Limits
Syntax
Summary of Options
Details
Constructing ANOM Charts for Means
Constructing ANOM Charts for Two-Way Layouts
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 7.1: ANOM Charts with Unequal Group Sizes
Example 7.2: ANOM for a Two-Way Classification
Example 7.3: ANOM Charts Using LIMITS= Data Set
Example 7.4: ANOM for Cell Means in Presence of Interaction
INSET Statement
Overview
Getting Started
Displaying Summary Statistics on an ANOM Chart
Formatting Values and Customizing Labels
Adding a Header and Positioning the Inset
Syntax
Summary of INSET Keywords
Summary of Options
Dictionary of Options
Details
Positioning the Inset Using Compass Points
Positioning the Inset in the Margins
Positioning the Inset Using Coordinates
References
Part 3 The CAPABILITY Procedure
Introduction
Learning about the CAPABILITY Procedure
PROC CAPABILITY and General Statements
Overview
Getting Started
Computing Descriptive Statistics
Computing Capability Indices
Syntax Overview for the CAPABILITY Procedure
BY, FREQ, WEIGHT, and ID Statements
Graphical Enhancement Statements
Syntax for the PROC CAPABILITY Statement
Summary of Options
Dictionary of Options
Syntax for the CLASS Statement
Syntax for the SPEC Statement
Summary of Options
Dictionary of Options
Details
Input Data Sets
Output Data Set
Descriptive Statistics
Signed Rank Statistic
Tests for Normality
Percentile Computations
Robust Estimators
Computing the Mode
Assumptions and Terminology for Capability Indices
Standard Capability Indices
Specialized Capability Indices
Missing Values
ODS Tables
Examples
Example 9.1: Reading Specification Limits
Example 9.2: Enhancing Reference Lines
Example 9.3: Displaying a Confidence Interval for Cpk
CDFPLOT Statement
Overview
Getting Started
Creating a Cumulative Distribution Plot
Syntax
Summary of Options
Dictionary of Options
Details
ODS Graphics - Experimental
Examples
Example 10.1: Fitting a Normal Distribution
Example 10.2: Using Reference Lines with CDF Plots
COMPHISTOGRAM Statement
Overview
Getting Started
Creating a One-Way Comparative Histogram
Adding Fitted Normal Curves to a Comparative Histogram
Syntax
Summary of Options
Dictionary of Options
Details
ODS Graphics - Experimental
Examples
Example 11.1: Adding Insets with Descriptive Statistics
Example 11.2: Creating a Two-Way Comparative Histogram
HISTOGRAM Statement
Overview
Getting Started
Creating a Histogram with Specification Limits
Adding a Normal Curve to the Histogram
Customizing a Histogram
Syntax
Summary of Options
Dictionary of Options
Details
Formulas for Fitted Curves
Kernel Density Estimates
Printed Output
Output Data Sets
ODS Tables
ODS Graphics - Experimental
SYMBOL and PATTERN Statement Options
Examples
Example 12.1: Fitting a Beta Curve
Example 12.2: Fitting Lognormal, Weibull, and Gamma Curves
Example 12.3: Comparing Goodness-of-Fit Tests
Example 12.4: Computing Capability Indices for Nonnormal Distributions
Example 12.5: Computing Kernel Density Estimates
Example 12.6: Fitting a Three-Parameter Lognormal Curve
Example 12.7: Annotating a Folded Normal Curve
INSET Statement
Overview
Getting Started
Displaying Summary Statistics on a Histogram
Formatting Values and Customizing Labels
Adding a Header and Positioning the Inset
Syntax
Summary of INSET Keywords
Summary of Options
Dictionary of Options
Details
Positioning the Inset Using Compass Points
Positioning the Inset in the Margins
Positioning the Inset Using Coordinates
Examples
Example 13.1: Inset for Goodness-of-Fit Statistics
Example 13.2: Inset for Areas Under a Fitted Curve
INTERVALS Statement
Overview
Getting Started
Computing Statistical Intervals
Computing One-Sided Lower Prediction Limits
Syntax
Summary of Options
Dictionary of Options
Details
Methods for Computing Statistical Intervals
OUTINTERVALS= Data Set
ODS Tables
OUTPUT Statement
Overview
Getting Started
Saving Summary Statistics in an Output Data Set
Saving Percentiles in an Output Data Set
Syntax
Summary of Keywords
Details
OUT= Data Set
Examples
Example 15.1: Computing Nonstandard Capability Indices
Example 15.2: Approximate Confidence Limits for Cpk
PPPLOT Statement
Overview
Getting Started
Creating a Normal Probability-Probability Plot
Syntax
Summary of Options
Dictionary of Options
Details
Construction and Interpretation of P-P Plots
Comparison of P-P Plots and Q-Q Plots
Summary of Theoretical Distributions
Specification of Symbol Markers
Specification of the Distribution Reference Line
ODS Graphics - Experimental
PROBPLOT Statement
Overview
Getting Started
Creating a Normal Probability Plot
Creating Lognormal Probability Plots
Syntax
Summary of Options
Dictionary of Options
Details
Summary of Theoretical Distributions
SYMBOL Statement Options
ODS Graphics - Experimental
Examples
Example 17.1: Displaying a Normal Reference Line
Example 17.2: Displaying a Lognormal Reference Line
QQPLOT Statement
Overview
Getting Started
Creating a Normal Quantile-Quantile Plot
Adding a Distribution Reference Line
Syntax
Summary of Options
Dictionary of Options
Details
Construction of Quantile-Quantile and Probability Plots
Interpretation of Quantile-Quantile and Probability Plots
Summary of Theoretical Distributions
Graphical Estimation
SYMBOL Statement Options
ODS Graphics - Experimental
Examples
Example 18.1: Interpreting a Normal Q-Q Plot of Nonnormal Data
Example 18.2: Estimating Parameters from Lognormal Plots
Example 18.3: Comparing Weibull Q-Q Plots
Example 18.4: Estimating Cpk from a Normal Q-Q Plot
Dictionary of Common Options
Dictionary of Common Options
References
Part 4 The CUSUM Procedure
Introduction
Learning about the CUSUM Procedure
PROC CUSUM Statement
Overview
Syntax
Input and Output Data Sets
XCHART Statement
Overview
Getting Started
Creating a V-Mask Cusum Chart from Raw Data
Creating a V-Mask Cusum Chart from Subgroup Summary Data
Saving Summary Statistics
Creating a One-Sided Cusum Chart with a Decision Interval
Saving Cusum Scheme Parameters
Reading Cusum Scheme Parameters
Syntax
Summary of Options
Dictionary of Special Options
Details
Basic Notation for Cusum Charts
Formulas for Cumulative Sums
Defining the Decision Interval for a One-Sided Cusum Scheme
Defining the V-Mask for a Two-Sided Cusum Scheme
Designing a Cusum Scheme
Cusum Charts Compared with Shewhart Charts
Methods for Estimating the Standard Deviation
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Missing Values
Examples
Example 21.1: Cusum and Standard Deviation Charts
Example 21.2: Upper and Lower One-Sided Cusum Charts
Example 21.3: Combined Shewhart--Cusum Scheme
INSET Statement
Overview
Getting Started
Syntax
References
Part 5 The FACTEX Procedure
Introduction to the FACTEX Procedure
Overview
Features
Learning about the FACTEX Procedure
Getting Started
Example of a Two-Level Full Factorial Design
Example of a Full Factorial Design in Two Blocks
Example of a Half-Fraction Factorial Design
Using the FACTEX Procedure Interactively
Details of the FACTEX Procedure
Syntax
Summary of Functions
Summary of Designs
Statement Descriptions
PROC FACTEX Statement
BLOCKS Statement
UNITEFFECTS Statement
EXAMINE Statement
FACTORS Statement
MODEL Statement
OUTPUT Statement
SIZE Statement
Advanced Examples
Example 24.1: Completely Randomized Design
Example 24.2: Resolution IV Augmented Design
Example 24.3: Factorial Design with Center Points
Example 24.4: Fold-Over Design
Example 24.5: Randomized Complete Block Design
Example 24.6: Two-Level Design with Design Replication and Point Replication
Example 24.7: Mixed-Level Design Using Design Replication and Point Replication
Example 24.8: Mixed-Level Design Using Pseudo-factors
Example 24.9: Mixed-Level Design by Collapsing Factors
Example 24.10: Hyper-Graeco-Latin Square Design
Example 24.11: Resolution IV Design with Minimum Aberration
Example 24.12: Replicated Blocked Design with Partial Confounding
Example 24.13: Incomplete Block Design
Example 24.14: Design with Inner Array and Outer Array
Example 24.15: Fractional Factorial Split-Plot Designs
Example 24.16: Design and Analysis of a Complete Factorial Experiment
Computational Details
Types of Factors
Specifying Effects in the MODEL Statement
Factor Variable Characteristics in the Output Data Set
Statistical Details
Resolution
Randomization
Replication
Confounding Rules
Alias Structure
Minimum Aberration
Split-Plot Designs
Output
ODS Tables
Theory of Orthogonal Designs
Overview
Structure of General Factorial Designs
Suitable Confounding Rules
Design Factors
Block Factors
General Criteria
Searching for Confounding Rules
Speeding Up the Search
General Recommendations
References
Part 6 The ISHIKAWA Procedure
Introduction to the ISHIKAWA Environment
Overview
Terminology
Tutorial
Details of the ISHIKAWA Environment
Summary of Operations
Operations
Adding Arrows
Labeling Arrows
Moving Arrows
Deleting Arrows
Resizing Arrows
Swapping Arrows
Balancing Arrows
Notepads
Managing Complexity
Zooming Arrows
Isolating Arrows
Merging Diagrams
Creating Graphics Output Using SAS/GRAPH Software
Creating Bitmap Graphics Output
Modifying Fonts
Modifying Box Colors
Modifying Arrow Colors and Line Styles
Modifying Text Colors
Modifying Arrow Heads
Modifying Environmental Attributes
Saving an Ishikawa Diagram for Future Editing
Reading an Existing Ishikawa Diagram
Displaying Multiple Ishikawa Diagrams
Input and Output Data Sets
Syntax
Examples
Example 27.1: Quality of Air Travel Service
Example 27.2: Integrated Circuit Failures
Example 27.3: Photographic Development Process
References
Part 7 The MACONTROL Procedure
Introduction
Learning about the MACONTROL Procedure
PROC MACONTROL Statement
Overview
Syntax
Input and Output Data Sets
EWMACHART Statement
Overview
Getting Started
Creating EWMA Charts from Raw Data
Creating EWMA Charts from Subgroup Summary Data
Saving Summary Statistics
Saving Control Limit Parameters
Reading Preestablished Control Limit Parameters
Syntax
Summary of Options
Dictionary of Special Options
Details
Constructing EWMA Charts
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Axis Labels
Missing Values
Examples
Example 29.1: Specifying Standard Values for the Process Mean and Process Standard Deviation
Example 29.2: Displaying Limits Based on Asymptotic Values
Example 29.3: Working with Unequal Subgroup Sample Sizes
Example 29.4: Displaying Individual Measurements on an EWMA Chart
Example 29.5: Computing Average Run Lengths
MACHART Statement
Overview
Getting Started
Creating Moving Average Charts from Raw Data
Creating Moving Average Charts from Subgroup Summary Data
Saving Summary Statistics
Saving Control Limit Parameters
Reading Preestablished Control Limit Parameters
Syntax
Summary of Options
Dictionary of Special Options
Details
Constructing Uniformly Weighted Moving Average Charts
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Axis Labels
Missing Values
Examples
Example 30.1: Specifying Standard Values for the Process Mean and Process Standard Deviation
Example 30.2: Annotating Average Run Lengths on the Chart
INSET Statement
Overview
Getting Started
Syntax
References
Part 8 The OPTEX Procedure
Introduction to the OPTEX Procedure
Overview
Features
Learning about the OPTEX Procedure
Getting Started
Constructing a Nonstandard Design
Optimal Design Scenarios
Details of the OPTEX Procedure
Syntax
Summary of Functions
Statement Descriptions
PROC OPTEX Statement
BLOCKS Statement
CLASS Statement
EXAMINE Statement
GENERATE Statement
ID Statement
MODEL Statement
OUTPUT Statement
Advanced Examples
Example 33.1: Nonstandard Linear Model
Example 33.2: Comparing Fedorov Algorithm to Sequential Algorithm
Example 33.3: Using an Initial Design to Search an Optimal Design
Example 33.4: Optimal Design Using an Augmented Best Design
Example 33.5: Optimal Design Using a Small Candidate Set
Example 33.6: Bayesian Optimal Design
Example 33.7: Balanced Incomplete Block Design
Example 33.8: Optimal Design with Fixed Covariates
Example 33.9: Optimal Design in the Presence of Covariance
Example 33.10: Adding Space-Filling Points to a Design
Data Details
Input Data Sets
Output Data Sets
Computational Details
Specifying Effects in MODEL Statements
Design Efficiency Measures
Design Coding
Optimality Criteria
Memory and Run-Time Considerations
Search Methods
Optimal Blocking
Search Strategies
Output
ODS Tables
References
Part 9 The PARETO Procedure
Introduction
PROC PARETO Statement
Overview
Syntax
Summary of Options
Dictionary of Options
VBAR Statement
Overview
Getting Started
Creating a Pareto Chart from Raw Data
Creating a Pareto Chart Using Frequency Data
Restricting the Number of Pareto Categories
Syntax
Summary of Options
Dictionary of Options
HBAR Statement
Overview
Getting Started
Creating a Pareto Chart from Raw Data
Creating a Pareto Chart Using Frequency Data
Restricting the Number of Pareto Categories
Syntax
Summary of Options
Dictionary of Options
INSET Statement
Overview
Getting Started
Displaying Summary Statistics on a Pareto Chart
Customizing Labels and Formatting Values
Adding a Header and Positioning the Inset
Syntax
Summary of INSET Keywords
Summary of Options
Dictionary of Options
Details
Positioning the Inset Using Compass Points
Positioning the Inset in the Margins
Positioning the Inset Using Coordinates
Details and Examples
Details
Terminology
Labels for Chart Features
Scaling the Cumulative Percent Curve
Output Data Sets
ODS Graphics - Experimental
Constructing Effective Pareto Charts
Missing Values
Role of Variable Formats
Large Data Sets
Examples
Example 38.1: Creating Before-and-After Pareto Charts
Example 38.2: Creating Two-Way Comparative Pareto Charts
Example 38.3: Highlighting the ``Vital Few''
Example 38.4: Highlighting Combinations of Categories
Example 38.5: Highlighting Combinations of Cells
Example 38.6: Ordering Rows and Columns in a Comparative Pareto Chart
Example 38.7: Merging Columns in a Comparative Pareto Chart
Example 38.8: Creating Weighted Pareto Charts
References
Part 10 The RELIABILITY Procedure
The RELIABILITY Procedure
Overview
ODS Graphics - Experimental
Getting Started
Analysis of Right-Censored Data from a Single Population
Weibull Analysis Comparing Groups of Data
Analysis of Accelerated Life Test Data
Weibull Analysis of Interval Data with Common Inspection Schedule
Lognormal Analysis with Arbitrary Censoring
Regression Modeling
Regression Model with Nonconstant Scale
Regression Model with Two Independent Variables
Weibull Probability Plot for Two Combined Failure Modes
Analysis of Recurrence Data on Repairs
Comparison of Two Samples of Repair Data
Analysis of Interval Age Recurrence Data
Analysis of Binomial Data
Syntax
Primary Statements
Secondary Statements
Graphical Enhancement Statements
PROC RELIABILITY Statement
ANALYZE Statement
BY Statement
CLASS Statement
DISTRIBUTION Statement
FMODE Statement
FREQ Statement
INSET Statement
LOGSCALE Statement
MAKE Statement
MCFPLOT Statement
MODEL Statement
NENTER Statement
PROBPLOT Statement
RELATIONPLOT Statement
UNITID Statement
Details
Abbreviations and Notation
Types of Lifetime Data
Probability Distributions
Probability Plotting
Nonparametric Confidence Intervals for Cumulative Failure Probabilities
Parameter Estimation and Confidence Intervals
Regression Model Observation-wise Statistics
Recurrence Data from Repairable Systems
ODS Table Names
ODS Graph Names - Experimental
References
Part 11 The SHEWHART Procedure
Introduction
Uses of Shewhart Charts
Characteristics of Shewhart Charts
Classification of Shewhart Charts
Learning to Use the SHEWHART Procedure
PROC SHEWHART and General Statements
Overview
Syntax Overview for the SHEWHART Procedure
BY and ID Statements
Graphical Enhancement Statements
Syntax for the PROC SHEWHART Statement
Summary of Options
Dictionary of Options
Input and Output Data Sets
BOXCHART Statement
Overview
Getting Started
Creating Box Charts from Raw Data
Creating Box Charts from Subgroup Summary Data
Saving Summary Statistics
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Box Charts
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Percentile Definitions
Axis Labels
Missing Values
Examples
Example 41.1: Using Box Charts to Compare Subgroups
Example 41.2: Creating Various Styles of Box-and-Whisker Plots
Example 41.3: Creating Notched Box-and-Whisker Plots
Example 41.4: Creating Box-and-Whisker Plots with Varying Widths
Example 41.5: Creating Box-and-Whisker Plots with Different Line Styles and Colors
Example 41.6: Computing the Control Limits for Subgroup Maximums
Example 41.7: Constructing Multi-Vari Charts
CCHART Statement
Overview
Getting Started
Creating c Charts from Defect Count Data
Saving Control Limits
Reading Preestablished Control Limits
Creating c Charts from Nonconformities per Unit
Saving Nonconformities per Unit
Syntax
Summary of Options
Details
Constructing Charts for Numbers of Nonconformities (c Charts)
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 42.1: Applying Tests for Special Causes
Example 42.2: Specifying a Known Expected Number of Nonconformities
Example 42.3: Creating c Charts for Varying Numbers of Units
IRCHART Statement
Overview
Getting Started
Creating Individual Measurements and Moving Range Charts
Saving Individual Measurements and Moving Ranges
Reading Individual Measurements and Moving Ranges
Saving Control Limits
Reading Preestablished Control Limits
Specifying the Computation of the Moving Range
Syntax
Summary of Options
Details
Constructing Charts for Individual Measurements and Moving Ranges
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Interpreting Charts for Individual Measurements and Moving Ranges
Axis Labels
Missing Values
Examples
Example 43.1: Applying Tests for Special Causes
Example 43.2: Specifying Standard Values for the Process Mean and Standard Deviation
Example 43.3: Displaying Distributional Plots in the Margin
MCHART Statement
Overview
Getting Started
Creating Charts for Medians from Raw Data
Creating Charts for Medians from Subgroup Summary Data
Saving Summary Statistics
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Median Charts
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Axis Labels
Missing Values
Examples
Example 44.1: Controlling Value of Central Line
Example 44.2: Estimating the Process Standard Deviation
MRCHART Statement
Overview
Getting Started
Creating Charts for Medians and Ranges from Raw Data
Creating Charts for Medians and Ranges from Summary Data
Saving Summary Statistics
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Charts for Medians and Ranges
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Axis Labels
Missing Values
Examples
Example 45.1: Working with Unequal Subgroup Sample Sizes
Example 45.2: Specifying Axis Labels
NPCHART Statement
Overview
Getting Started
Creating np Charts from Count Data
Creating np Charts from Summary Data
Saving Proportions of Nonconforming Items
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Charts for Number Nonconforming (np Charts)
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 46.1: Applying Tests for Special Causes
Example 46.2: Specifying Standard Average Proportion
Example 46.3: Working with Unequal Subgroup Sample Sizes
Example 46.4: Specifying Control Limit Information
PCHART Statement
Overview
Getting Started
Creating p Charts from Count Data
Creating p Charts from Summary Data
Saving Proportions of Nonconforming Items
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Charts for Proportion Nonconforming (p Charts)
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 47.1: Applying Tests for Special Causes
Example 47.2: Specifying Standard Average Proportion
Example 47.3: Working with Unequal Subgroup Sample Sizes
Example 47.4: Creating a Chart with Revised Control Limits
Example 47.5: OC Curve for Chart
RCHART Statement
Overview
Getting Started
Creating Range Charts from Raw Data
Creating Range Charts from Summary Data
Saving Summary Statistics
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Range Charts
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Axis Labels
Missing Values
Examples
Example 48.1: Computing Probability Limits
Example 48.2: Specifying Control Limit Information
SCHART Statement
Overview
Getting Started
Creating Standard Deviation Charts from Raw Data
Creating Standard Deviation Charts from Subgroup Summary Data
Saving Summary Statistics
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Charts for Standard Deviations
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Axis Labels
Missing Values
Examples
Example 49.1: Specifying a Known Standard Deviation
Example 49.2: Computing Average Run Lengths for s Charts
UCHART Statement
Overview
Getting Started
Creating u Charts from Defect Count Data
Saving Control Limits
Reading Preestablished Control Limits
Creating u Charts from Nonconformities per Unit
Saving Nonconformities per Unit
Syntax
Summary of Options
Details
Constructing Charts for Nonconformities per Unit (u Charts)
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Axis Labels
Missing Values
Examples
Example 50.1: Applying Tests for Special Causes
Example 50.2: Specifying a Known Expected Number of Nonconformities
Example 50.3: Creating u Charts for Varying Numbers of Units
XCHART Statement
Overview
Getting Started
Creating Charts for Means from Raw Data
Creating Charts for Means from Subgroup Summary Data
Saving Summary Statistics
Saving Control Limits
Reading Preestablished Control Limits
Syntax
Summary of Options
Details
Constructing Charts for Means
Output Data Sets
ODS Tables
ODS Graphics - Experimental
Input Data Sets
Methods for Estimating the Standard Deviation
Axis Labels
Missing Values
Examples
Example 51.1: Applying Tests for Special Causes
Example 51.2: Estimating the Process Standard Deviation
Example 51.3: Plotting OC Curves for Mean Charts
Example 51.4: Computing Process Capability Indices
XRCHART Statement
Overview
Getting Started
Creating Charts for Means and Ranges from Raw Data
Creating Charts for Means and Ranges from Summary Data
Saving Summary Statistics
Saving Control Limits
Reading Preestablished Control Limits
Syntax