Is there a difference in the Bulls players?

You better believe it. Here is a table for the Chi-Square for the points per game averages for the Bulls as of December 17, 1995.


The Chi-Square here was a very high 29.11.

You can compare this to the dice roll data because both sets of data have 6 possible outcomes. In die you can get a 1-6. On the Bulls the top six scorers were allowed to be the outcomes.

Comparing 29.11 to the randomly generated die results it is clear that the Chi-Square is statistically significant and there is a difference in the probabilities of the different players scoring.

You already knew that. This just proves that Michael Jordan rules.
You can use the chi-square to show things like this, but it really isn't necessary because it is obvious that scoring baskets is not a random occurrence. The real power of chi-square comes in testing situations where you don't know if something is random or not. Does one drug work better than another? Is one candidate favored over another? Etc.

Good luck in chi-squaring! Back to Problem page.