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1st Edition

Statistical Quality Control Methods





ISBN 9780367452100
Published June 30, 2020 by Routledge
532 Pages

 
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Book Description

This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of great use in areas such as laboratory analyses and research. The problems and examples presented are from actual cases encountered in the industry.

Table of Contents

Preface

Introduction

What is Statistics?

Why Statistical Quality Control?

Aim of Book

Prerequisites

Suggestions to the Student

Brief Review of Statistical Background

Population and Sample

Parameter and Statistic

Notations

Probability Definitions and Laws

Distribution of Sample Statistics

Statistical Estimation

Testing Hypotheses

References

Control Charts in General

Introduction

Running Records of Performance

Random and Assignable Causes

The Control Chart for Interpreting Variations in Quality

Two Purposes of Control Charts

Economic Balance Between Two Errors

Meaning of a Process in Control and Potential Advantages

Problems

References

Control Charts for Measurements

Introduction

Control charts for Averages, Ranges and Standard Deviations, from Given Standards

Control Charts for Averages, Ranges and Standard Deviations, Analyzing Past Data

Comparison of the Two Charts for Variability

Comparison of a Process with Specifications

Continuing the Charts

Illustrative Example

Kinds of Assignable Causes

When to Set Standard Values- Process Capability

Use of Runs for Out of Controlness

Summary

Problems

References

Background of Control Charts for Measurements

Introduction

The Empirical Approach to Sampling Distributions

Control Charts for Samples from Normal Populations of x’s

Problems

References

Control Charts for Attributes

Introduction

Control Charts for Defectives

Control Charts for Defects

General Comments on Control Charts for Attributes

A Method of Rating Product Quality

Summary

Pro

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Author(s)

Biography

Burr, Irving W.

Reviews

". . .Professor Burr expertly blends the statistical concepts for each subject with actual case histories to clearly illustrate the major points of each discussion. "
---Industrial Engineering
". . .Students and lecturers will find invaluable the numbers real-life examples and good practical advice. "
---Australian Journal of Statistics