A college professor is curious if the location of a seat in class affects grades in the class. They are teaching in a lecture hall with 240 students. The lecture hall has 10 rows, so they split the rows into 5 sections – Rows 1-2, Rows 3-4, Rows 5-6, Rows 7-8, and Rows 9-10. At the end of the course, they determine the top 25% of grades in the class, and if the location of the seat makes no difference, they would expect that these top 25% of students would be equally dispersed throughout the classroom. Their observations are recorded below.
Run a Goodness of Fit test to determine whether or not location has an impact on the grade. Let α=0.05. After running a Goodness of Fit test, does the professor have evidence to conclude that location in the classroom has an impact on final grade and what is the p-value?
Rows 1-2 | Rows 3-4 | Rows 5-6 | Rows 7-8 | Rows 9-10 | |
# in Top 25% | 14 | 8 | 13 | 10 | 15 |
Expected Counts | 12 | 12 | 12 | 12 | 12 |
no, the p-value = 0.413907
yes, the p-value = 0.586093
no, the p-value = 0.58609
yes, the p-value = 0.413907
Null hypothesis:
The ratio is equal for all rows ( no impact )
Alternate hypothesis : At least one is different
Event | Observed Frequency(O) | Expected Probability | Expected Frequency ( E) | ( O-E)^2 | ( O-E)^2/E |
1-2 | 14 | 0.2 | 12 | 4 | 0.333333 |
3-4 | 8 | 0.2 | 12 | 16 | 1.333333 |
5-6 | 13 | 0.2 | 12 | 1 | 0.083333 |
7-8 | 10 | 0.2 | 12 | 4 | 0.333333 |
9-10 | 15 | 0.2 | 12 | 9 | 0.75 |
Total. | 60 | 60 | 60 | 2.833333 |
The corresponding p value 0.586093
We reject null hypothesis if p < alpha ( 0.05 )
here, p > alpha ( we do not reject the null hypothesis )
All there proportions are same'
no, the p-value = 0.58609
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