Table of Contents

• Prequiz...
• 1: Do those shoes fit?
• 2: Dilbert's 3 day work week
• 3: The day is saved . or not
• The Brute Force Method
• 4: The Brute Force method
• 5: Computer = brute force
• 6: What's your threshold for pain?
• 7: Sick-day sistribution
• 8: A brief recap of the Brute Force Method
• 9: The Brute Force method again
• The Stats Method
• 10: Using arithmetic instead of Brute Force
• 11: One small correction
• 12: How big is big?
• 13: Degrees of Freedom
• 14: The magic lookup table
• 15: The answer, finally
• 16: Summary of chi-square
• 17: Another example for chi-square
• 18: So, which method do you like better?
• Some Examples
• 19: Applications
• 20: Example 1: Testing for a dihybrid ratio
• 21: Example 2: Habitat selection (ecology)
• 22: Review and Words of Wisdom

Do those shoes fit?

In this module, we are going to discuss and explore two ways of testing for "goodness of fit". You may have already read a module which introduced goodness of fit tests -- but if not, we'll review that statistical material, as well as talking about a "brute force" method.

So what does "goodness of fit" mean? You know whether your shoes fit your feet based on whether they cause pain, right?

In sort of the same way, you can decide whether your data fits your expectations using a "goodness of fit" test. And believe me, if your data doesn't fit, it can cause a lot of pain.

Note: for the chi-square section of the module, having a calculator on hand will make things go faster. You can also use a spreadsheet or calculator software on your computer.