Lab | Fall 10 | Fall 11 |
---|---|---|
one | 1 | 1 |
two | 0 | 2 |
three | 0 | 2 |
four | 1 | 0 |
five | 0 | 0 |
six | 0 | 0 |
seven | 7 | 7 |
eight | 8 | 1 |
nine | 0 | 4 |
ten | 2 | 1 |
eleven | 5 | 2 |
twelve | 2 | 5 |
thirteen | 6 | 4 |
Each term in physical science I survey the students to determine their favorite laboratories for the term. The data is from fall 2010 and fall 2011 terms. The number in the second and third columns are the number of "votes" for that laboratory as a favorite laboratory.
If the data in the second and third columns is pairwise identical, then each lab will have the same number of "likes" in each term and there is no statistical difference between the students choices in fall 2010 and fall 2011. In this case we would fail to reject the null hypothesis. If the data was pairwise identical, then the p-value would be 1.00.
If the p-value is 1.00, then there would be 0% confidence of any difference. This would mean that the students favorite labs fall 2010 are the same as the favorite labs fall 2011.
The data, however, is NOT pairwise identical. No student selected lab two as a favorite lab fall 2010, but two students picked lab two as a favorite lab fall 2011.
The data is not pairwise identical and therefore there is a difference in the students choices. The p-value will be less than one.
If the p-value is less than 0.10, then we could consider the students choices to be significantly different.
If the p-value is more than 0.10, then the students favorite choices are statistically the same.
Thus the implicit question is whether students choices of favorite laboratory has changed year-on-year.