You would like to "prove" your alternative hypothesis that the proportion of all male college students who can run a mile in less than 7.5 minutes is less than 0.30. You collect a random sample of college males and discover that 26.0% of them can run a mile in less than 7.5 minutes. Let n be the sample size. Which of the following can you conclude?
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sample success x = | 130 | |
sample size n = | 500 | |
std error se =√(p*(1-p)/n) = | 0.0205 | |
sample proportion p̂ = x/n= | 0.2600 | |
test stat z =(p̂-p)/√(p(1-p)/n)= | -1.95 | |
p value = | 0.0256 |
since p value is between 0.05 and 0.01
option C is correct
c. If n= 500, then these results are significant at the 5% level, but not at the 1% level.
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