2. Home and Away Advantage By: Krista Dornfried and Gillian Apps

3. Goals:  Our main goal was to figure out whether or not there is an advantage for Dartmouth hockey players when they play at home.  To do this, our data shows the number of wins and non-wins against teams that are similar in ranking.

4. The Competition...  Cornell  Colgate  Rensselaer  Boston College  Yale  Harvard  Clarkson  St. Lawrence  Union  Minnesota  Harvard  St. Lawrence  New Hampshire  Minnesota-Duluth  Mercyhurst  Princeton

5. Pre-Test Beliefs  We believe that Dartmouth hockey teams are more likely to win when playing at their home arena.

6. Dartmouth College

7. Null Hypothesis  Playing at HOME, or at an AWAY arena has no effect on the outcome of the game. The result of the game has nothing to due with where the game is played.  P= 0.5

8. Alternate Hypothesis  Dartmouth hockey teams are more likely to win playing at their home arena  Location has an effect on the results of the game.  P> 0.5

9. Results  We found the probability of Dartmouth winning at home, or winning away.  Here is how we did it: P home =18/30= 60% P away =11/30= 36.67%

10.  Initially, we entered our home and away probabilities into the following equation:

11.  In doing this, we found that P home = 1.095 and P away =-1.46. Given that we chose to use a significance level of 0.05, we were unable to reject our Null Hypothesis.  1.095 is not > 1.65  -1.46 is not < 1.65

12. What Happened???

13.  We believe that if we had a larger sample size, we would have been able to reject our null hypothesis.  Given the vast difference between our original probabilities we chose to try a different equation.

14. Here is the new equation:

15. ****YIPEEEE****

16. 1.86> 1.65  1.86> 1.65  Therefore, 1.86 falls into the critical region and we are able to reject our null hypothesis.

17. Conclusion  Please come out and support the Ice hockey teams!GODARTMOUTHGO