The prelims comprise:

• Looking at Differences of Means Through Noise

• Questions and Targets: Models of Two-Factor Situations

• Relation to the Usual “Probability Models”

• Leaving Out or Pooling Noisy Estimates: The F > 2 Principle

• A Hypothetical Example Illustrating Two-Factor Situations

• Examples with Larger Factor A Effects

• Sweeping the Common Term Down

• Looking at Two Factors with Replication

• Replicated Cells: Pooling Interaction with Replication

• Commentary on the Rule of 2

• More Complex Situations with an Example Having Four Factors

• Displaying a Two-way Packet

• Taking the Example Further by Using What We Have Already Learned

• Reasonableness of Fixed-Factor Analyses