Food and feed outline

Food and Feed

Course Outline

Introduction to Sampling Theory

  • The steps of the Sample Quality Criteria (SQC) process
  • Difficulties in implementing the SQC process
  • The three most important questions in a sampling campaign
    • What is the question?
    • What s the Decision Unit?
    • What is the confidence required?

Measuring and Mitigating Sampling Errors

  • Material properties
    • Finite
    • Infinite
  • Types of heterogeneity
    • Compositional heterogeneity
    • Distributional heterogeneity
  • Major sampling errors
    • Fundamental error
    • Grouping and segregation error
    • Materialization error

Selection and use of Sampling Tools

  • Commonly used sampling tools
  • Which sampling tools cause bias and why
  • How improper use of sampling tools causes bias
  • The correct use and design of sampling tools

Statistics for Sampling

  • Definition and types of statistics
  • Definition of bias and variability
  • Why variability is a concern
  • How sampling and variability are related
  • How sampling and bias are related
  • How sampling affects statistical analysis
  • Inference
  • Confidence intervals

Field Quality Control

  • Types of quality control field samples
  • Interpretation of quality control results
  • How to properly take splits and replicates
  • Resampling and outliers

Sampling Protocol Development

  • Developing sampling protocols
  • Evaluating sampling protocols to meet SQC
  • Standardizing sampling protocols
  • Probabilistic vs non-probabilistic sample selection
  • Choosing sampling locations
  • Modes of sample selection
    • Simple random
    • Stratified random
    • Systematic random

Cost Effective Sampling

  • Grab/discrete and composite samples
  • Using historical data to estimate required sampling approach
  • Field analytical methods