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Applied Statistical Methods (ASM)

INTRODUCTION:

Business processes have to be monitored and understood if they are to be controlled and the usual way of doing this is to collect information about them. Unfortunately, all human activity is to a greater or lesser extent subject to randomness and this complicates understanding and decision making. Statistics is the science of collecting data, describing and presenting it, understanding and quantifying randomness present in it, finding facts from it and making informed decisions on the basis of it. This module covers the general concepts and techniques of statistics that apply to industrial and commercial disciplines and shows how these methods may be applied to specific problems. The philosophy of the module is to concentrate on the concepts and applications of statistical processes, rather than the mathematical theory behind them.

OBJECTIVES:

On completion, participants will be capable of:

  • Identifying situations where statistical analysis can be usefully applied.
  • Carrying out key statistical analyses without assistance.
  • Recognising when additional, more specialised, analysis is required.
  • Developing their statistical skill further where necessary.
  • Using statistics for informed decision making.

CONTENTS: 

  1. Basic Parameters (Descriptive Statistics & Probability)
  2. Distributions: e.g. Binomial, Poisson, Exponential and Normal.
  3. Exploratory Data Analysis (EDA)
  4. Sampling & Significance Testing.
  5. Goodness of Fit testing.
  6. Analysis of Variance (ANOVA)
  7. Correlation & Regression Analysis.
  8. Design of Experiments (DoE).
  9. Distribution-free (non-parametric) statistics.
  10. Contingency Tables
  11.  Statistics on the computer.