Question

In: Math

the national collegiate athletic association requires colleges to report the graduation rates of their athletes. at...

the national collegiate athletic association requires colleges to report the graduation rates of their athletes. at one large university, 78% of all students who entered in 2004 graduated in six years. one hundred thirty seven of the 190 students who entered with athletic scholarship graduated . consider these 190 as a sample of all athletes who will be admitted under present policies. is there evidence at the 5% level that the the percentage of athletes who graduate is less than 78%?

1. List the conditions for the test you plan to use, explain how these conditions are met, calculate and write down the test statistic, and find the P-value.

2. based on your P-value, conclude in context

Solutions

Expert Solution

(1) Conditions:

(a) The Sampling is a Simple random sampling

(b) Normality: n * p = 190*0.78 = 148.2 and n * (1-p) = 190*0.22 = 41.8 are both greater than 10.

(c) Each response in independent of the others.

(d) 10% Condition 190 students comes from a population of at least 1900 students who get admission with athletic scholarship.

(2) Hypothesis Test For a Single Proportion

Let = The sample proportion of athletes who got admission through athletic scholarship and graduated = 137/190 = 0.721

Let p = The population proportion of athletes who got admission through athletic scholarship and graduated = 78% = 0.78

1 - p = 0.22

= 0.05

The Hypothesis:

H0: p = 0.78: The population proportion of athletes who graduated after getting admission through an athletic scholarship is equal to 0.78.

Ha: p < 0.78: The population proportion of athletes who graduated after getting admission through an athletic scholarship is lesser than 0.78.

This is a 2 Tailed Test.

The Test Statistic:

Z observed = -1.96

The p Value: The p value (1 Tail) for Z = -1.96, is; p value = 0.025

The Critical Value: The critical value (1 tail) at = 0.05, Zcritical = -1.645

The Decision Rule:    

The Critical Value Method: If Zobserved is < -Zcritical, Then Reject H0.

The p value Method: If the P value is < , Then Reject H0

The Decision:   

The Critical Value Method: Since Z observed (-1.96) < -Zcritical (-1.645), We Reject H0

The p value Method: Since P value (0.025) is < (0.05), We Reject H0.

The Conclusion: There is sufficient evidence at the 95% significance level to conclude that the population proportion of of athletes who graduated after getting admission through an athletic scholarship is lesser than 0.78.

__________________________________________________________________________


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