In: Statistics and Probability
In the 1920s, about 97% of U.S. colleges and universities required a physical education course for graduation. Today, about 40% require such a course. A recent study of physical education requirements included 352 institutions: 125 private and 227 public. Among the private institutions, 101 required a physical education course, while among the public institutions, 60 required a course
(a) What are the statistics ( ±0.0001)? X1 = , n1 = , 1p^1 = X2 = , n2 = , 2p^2 =
(b) Use a 95% confidence interval to compare the private and the public institutions with regard to the physical education requirement ( ±±0.0001) The 95% confidence interval if from to Conclusion
We have no evidence to conclude that private institutions are more likely to require physical education
We have evidence to conclude that private institutions are more likely to require physical education
(c) Use a significance test to compare the private and the public institutions with regard to the physical education requirement ( ±0.0001) p^ = z = P-value = Conclusion
We have evidence to conclude that public institutions are more likely to require physical education
We have no evidence to conclude that public institutions are more likely to require physical education Check Syntax
Part a
Required Statistics are given as below:
X1 = 101
n1 = 125
P1hat = X1/n1 = 101/125 = 0.808
x2 = 60
n2 = 227
P2hat= X2/n2 = 60/227 = 0.264317181
Part b
Confidence interval = (P1hat – P2hat) ± Z*sqrt[(P1hat*(1 – P1hat)/N1) + (P2hat*(1 – P2hat)/N2)]
Confidence level = 95%
Critical Z value = 1.96
(by using z-table)
Confidence interval = (0.808 – 0.264317181) ± 1.96*sqrt[(0.808*(1 – 0.808)/N1) + (0.264317181*(1 – 0.264317181)/227)]
Confidence interval = 0.543682819 ± 1.96*0.0458
Confidence interval = 0.543682819 ± 0.0898
Lower limit = 0.543682819 - 0.0898 = 0.4539
Upper limit = 0.543682819 + 0.0898 = 0.6335
Confidence interval = (0.4539, 0.6335)
We have evidence to conclude that private institutions are more likely to require physical education, because confidence interval do not contain zero and both limits are positive.
Part c
Here, we have to use two sample z test for difference in population proportions.
H0: p1 = p2 versus Ha: p1 > p2
α = 0.05
Z = (p̂1 - p̂2) / sqrt(p̄*(1 - p̄)*((1/n1)+(1/n2)))
p̄ = (X1+X2)/(N1+N2) = (101 + 60) / (125 + 227) = 0.4574
Z = (0.808 - 0.264317181) / sqrt(0.4574*(1 - 0.4574)*((1/125)+(1/227)))
Z = 0.543682819 / sqrt(0.4574*(1 - 0.4574)*((1/125)+(1/227)))
Z = 9.7984
P-value = 0.0000
(by using z-table)
Critical Z value = 1.6449
(by using z-table)
P-value < α = 0.05
So, we reject the null hypothesis
We have evidence to conclude that public institutions are more likely to require physical education.