A college professor is curious if location of seat in class affects grade in the class. They are teaching in a lecture hall to 200 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 location of 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 grade. Let α=0.05.
Hypotheses:
H0: Location in the classroom does does not impact final grade?
H1: Location in the classroom does does not impact final grade?
Enter the expected count for each section in the table below.
Rows 1-2 |
Rows 3-4 |
Rows 5-6 |
Rows 7-8 |
Rows 9-10 |
|
# in Top 25% |
12 |
7 |
10 |
8 |
13 |
Expected Counts |
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?
Yes No
H0: Location in the classroom does not impact final grade
H1: Location in the classroom impacts final grade
Observed | Expected | (Oi - Ei)^2/Ei | |
Rows 1-2 | 12 | 10 | 0.4 |
Rows 3-4 | 7 | 10 | 0.9 |
Rows 5-6 | 10 | 10 | 0 |
Rows 7-8 | 8 | 10 | 0.4 |
Rows 9-10 | 13 | 10 | 0.9 |
50 | 2.6 |
degrees of freedom, df = 4
Test statistic, chi-square = 2.6
critical value of chi-square = 9.49
As test statistic is less than the critical value, failed to reject the null hypothesis.
Location in the classroom does not impact final grade
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