In: Statistics and Probability
An educational researcher wishes to know if there is a difference in academic performance for college freshmen that live on campus and those that commute. Data was collected from 214214 students. Can we conclude that freshman housing location and academic performance are related?
Location | Average | Below Average | Above Average | Total |
---|---|---|---|---|
On campus | 7777 | 4242 | 3939 | 158158 |
Off campus | 2828 | 1414 | 1414 | 5656 |
Total | 105105 | 5656 | 5353 | 214214 |
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Step 1 of 8 :
State the null and alternative hypothesis.
Step 2 of 8 : Find the expected value for the number of students that live on campus and have academic performance that is average. Round your answer to one decimal place.
Step 3 of 8 : Find the expected value for the number of students that live on campus and have academic performance that is above average. Round your answer to one decimal place.
Step 4 of 8 : Find the value of the test statistic. Round your answer to three decimal places.
Step 5 of 8 : Find the degrees of freedom associated with the test statistic for this problem.
Step 6 of 8 : Find the critical value of the test at the
0.01
0.01
level of significance. Round your answer to three decimal places.
Step 7 of 8 : Make the decision to reject or fail to reject the null hypothesis at the
0.01
0.01
level of significance.
Step 8 of 8 : State the conclusion of the hypothesis test at the
0.01
0.01
level of significance.
step 1
null hypothesis: Ho: freshman housing location and academic performance are independent
Ha: freshman housing location and academic performance are related
step 2:
expected value =row total*column total/grand total =158*105/214 =77.50
step 3: expected value =158*53/214=39.10
step 4:
applying chi square test:
Expected | Ei=Σrow*Σcolumn/Σtotal | average | below average | above average | Total |
on campus | 77.500 | 41.300 | 39.100 | 157.9 | |
Off campus | 27.500 | 14.700 | 13.900 | 56.1 | |
Total | 105 | 56 | 53 | 214 | |
chi square | =(Oi-Ei)2/Ei | average | below average | above average | Total |
on campus | 0.003 | 0.012 | 0.000 | 0.015 | |
Off campus | 0.009 | 0.033 | 0.001 | 0.043 | |
Total | 0.012 | 0.045 | 0.001 | 0.058 |
from above test statistic =0.058 ( please try 0.055 if this comes wrong)
Step 5 of 8 : degree of freedom =(row-1)*(column-1)=(2-1)*(3-1)=2
step 6: crtiical value =9.210
Step 7 of 8 :as test statistic is less than crtiical value ; fail to reject null hypothesis
Step 8 of 8 : we do not have sufficient evidence to conclude that freshman housing location and academic performance are related