Factorial experiment

• Two or more treatment analyzed at the same time.
• The experiments that involve simultaneously more than one factor and each factor is at two or more levels.
• Powerful technique for analysis of experimental results with more than one factor.
• Done to study interaction.
• Experimental designs like CRD, RCBD study only one factor but factorial experiment deals with more than one factor at a time i.e. fertilizer, battery and feed simultaneously.
• Example: to make tea we must use three factors like milk, sugar and tea leaves.
• Is a variational trial and not an experimental design.

Importance of factorial experiment

• Assist to study combine effect of two or more factors when are used simultaneously.
• Helps to study individual effect of each factor as well as their interaction.
• Allows estimation of experimental errors in two ways.