The method I showed you on the last page was not quite right. For reasons that are difficult
to explain without a degree in statistics, you need to SQUARE the deviation
before dividing by the expected value. So we have the following sequence:
If the final chi-square is a big number, would this make you think that the data fit the model, or don’t fit the model?