Answer: (0.05256, 0.10744) .
Step-by-step explanation:
We know that the confidence interval for population proportion is given by :-
[tex]\hat{p}\pm z^* \sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}[/tex] (1)
, where [tex]\hat{p}[/tex] = Sample proportion
n= Sample size
z* = Critical z-value.
Let p be the population proportion of all medical students who plan to work in a rural community.
As per given , we have
n= 375
[tex]\hat{p}=\dfrac{30}{375}=0.08[/tex]
Critical z-value for 95% confidence interval = 1.96
Put all values in (1) , we get
[tex]0.08\pm(1.96)\sqrt{\dfrac{0.08(1-0.08)}{375}}[/tex]
[tex]0.08\pm(1.96)\sqrt{0.000196}[/tex]
[tex]0.08\pm(1.96)(0.014)[/tex]
[tex]0.08\pm0.02744[/tex]
[tex]=(0.08-0.02744,\ 0.08+0.02744) =(0.05256,\ 0.10744)[/tex]
Hence, the 95% confidence interval for the true population proportion of all medical students who plan to work in a rural community is (0.05256, 0.10744) .