A recent Pew research shows that 47% of all U.S. adults support a proposal of phasing out production of gasoline-powered cars and trucks. Suppose you did a survey, randomly choosing 250 adults in Southern California and found out a 52%supportive rate of the proposal of phasing out production of gasoline-powered cars and trucks.

Do you have strong evidence to claim thatmore than 47% of Southern California adults support the proposal of phasing out production of gasoline-powered cars and trucks?

(1) What is the parameter of interest? ["Population mean", "Sample mean", "Population proportion", "Sample proportion"]

(2) What is the success and failure condition? ["n>=30", "n >= 10 and p >= 0.5", "np>=10 and n(1-p) >= 10"]

(3) Is the success / failure condition met? ["Yes", "No"]

(4) The null hypothesis is ["52%", "more than 52%", "47%", "more than 47%"] of Southern California adults support the proposal of phasing out production of gasoline-powered cars and trucks.

(5) The alternative hypothesis is ["more than 52%", "more than 47%", "not 52%", "not 47%"] of Southern California adults support the proposal of phasing out production of gasoline-powered cars and trucks.

(6) Under the null hypothesis, the sample proportion approximately follows a ["Normal", "Poisson", "Binomial"] distribution.

(7) After conducting the test, the p-value is 0.0565 . We could conclude that since p-value is ["greater", "less"] than significance level 5%, there is ["enough", "not enough"] evidence to claim that more than 47% of Southern California adults support the proposal of phasing out production of gasoline-powered cars and trucks