Answer: Yes
Explanation:
As per the given information, we have to test the hypothesis:
, where p = Population proportion of college students work year-round.
Since the alternative hypothesis is two-tailed , so test is a two-tailed test.
In a random sample of 300 college students, 171 say they work year-round.
⇒ sample size : n= 300
⇒ sample proportion :
![\hat{p}=(171)/(300)=0.57](https://img.qammunity.org/2020/formulas/mathematics/middle-school/q6f6l9q4ieamnwkt325sac7bc3k1n0zpv4.png)
Test statistics :
![z=\frac{\hat{p}-p}{\sqrt{(p(1-p))/(n)}}](https://img.qammunity.org/2020/formulas/mathematics/high-school/qbe8s3uzi3o97g9woow5ls56mxv9q4kc05.png)
![z=\frac{0.57-5.57}{\sqrt{(0.57(1-0.57))/(300)}}\\\\=0](https://img.qammunity.org/2020/formulas/mathematics/middle-school/2p2e1aca9xduxirxmh7sh9bpx11nhsndba.png)
P-value = 2P(Z>|z| = 2P(Z>|0|))
=2P(Z>0) = 2(1-P(Z<0)) [∵ P(Z>z)=1-P(Z<z)]
=2(1-0.50) [ By z-table]
=1.00
Decision : P-value(1.00) > Significance level (0.10) , it means we cannot reject the null hypothesis.
We conclude that there is enough evidence to support researcher's claim that 57% of college students work year-round.