BS 600:2000

Committees responsible
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Illustration of value and role of statistical method
      through examples
      4.1 Statistical method
      4.2 Example 1: Strength of wire
      4.3 Example 2: Weight of fabric
      4.4 Example 3: Percentage ash content of cargo of
                         coal
5 Introduction to the simpler statistical tools
      5.1 General
      5.2 Basic statistical terms and measures
      5.3 Presentation of data
6 Verification and sampling considerations
      6.1 Statistical control and process capability
      6.2 Sampling considerations
7 Methods of conformity assessment
      7.1 The statistical concept of a population
      7.2 The basic of securing conformity to
             specification
8 The statistical relationship between sample and
      population
      8.1 The variation of the mean and the standard
             deviation in samples
      8.2 The reliability of a mean estimated from
             representative and duplicate sampling
      8.3 Illustration of the use of the mean weight, and
             the lowest weight, in a sample of prescribed
             size of standard specimens of fabric
      8.4 Tests and confidence intervals for means and
             standard deviations
      8.5 Simultaneous variation in the sample mean and in
             the sample standard deviation
      8.6 Tests and confidence intervals for proportions
      8.7 Prediction intervals
      8.8 Statistical tolerance intervals
      8.9 Estimation and confidence intervals for the
             Weibull distribution
      8.10 Distribution-free methods: estimation and
             confidence intervals for a median
9 Acceptance sampling
      9.1 Methodology
      9.2 Rationale
      9.3 Some terminology of acceptance sampling
      9.4 Acceptance sampling by attributes
      9.5 Acceptance sampling by variables - Single
             quality characteristic
      9.6 Multiple quality characteristics
10 Statistical process control (SPC)
      10.1 Process focus
      10.2 Essence of statistical process control (SPC)
      10.3 Statistical process control or statistical
             product control ?
      10.4 Over-control, under-control and control of
             processes
      10.5 Key statistical steps in establishing a
             standard performance based control chart
      10.6 Interpretation of standard Shewhart type
             control charts
      10.7 Selection of an appropriate control chart for
             a particular use
11 Process capability
      11.1 Overview
      11.2 Process performance v process capability
      11.3 Process capability for measured data
      11.4 Process capability indices
      11.5 Process capability for attribute data
12 Statistical experimentation and standards
      12.1 Basic concepts
13 Measurement systems
      13.1 Measurements and standards
      13.2 Measurements, quality and statistics
      13.3 Examples of statistical methods to ensure
             quality of measured data
Annex A (informative) Measured data control charts:
                      formulae and constants
Annex B (informative) Percentage points of the t-distribution
Bibliography
Figures
Tables

Defines a wide range of statistical methods applying to the control, management and improvement of processes.

BS600 describes a broad range of statistical methods applicable to the management, control and improvement of processes.