• Designed experiment, the experimenter imposes one or more experimental conditions on the experimental units and records the response.
  
• Types of design
  
  • CRD (completely randomized design): an extension of the two independent sample t-test.
    
  • RBD (randomized block design): an extension of the paired difference test.
    
  • AXB factorial experiment: we study two experimental factors and their effect on the response. (we will only discuss CRD and RBD in this tutorial and will not discuss its details in the following slides).
    
• Formula for CRD ANOVA and Test
  
  • n = bk,
    
  • n = total number of observations
    
  • b = the number of blocks and
    
  • k = the number of treatments within each block

This tutorial shows the basic definitions of by completing this course, you will learn the details about experiment simulation, including introduction, design of experiment, steps in design of experiment, Analysis of Variance (ANOVA), types of experiment, CRD, RBD, axb factorial, etc.

Illustrative examples are provided to show how one can use the technique of design of experiment to plan, collect, analyze and present the result of an experiment.

Specific Tutorial Features:

• Examples showing how different designs and respective ANOVAs are presented.
  
• Graphical description of the steps of design experiment is also presented in the tutorial.

Series Features:

• Concept map showing inter-connections of new concepts in this tutorial and those previously introduced.
  
• Definition slides introduce terms as they are needed.
  
• Visual representation of concepts
  
• Animated examples—worked out step by step
  
• A concise summary is given at the conclusion of the tutorial.

• Design of experiment
  
• Sum of Squares (Total SS, SST, SSE)
  
• ANOVA
  
• Types of design
  
• Step of design of experiment