Many parents around the world hope to provide their children the best education. According to World Economic Forum, U.S. parents spend on average of $58K for one kid from primary school all the way through the end of undergraduate studies.

In California, a survey randomly sampled 49 parents and asked about their total spending on education for one kid from primary school all the way through the end of undergraduate studies. The mean is found to be $61.5Kand the standard deviation is $5K.

Based on this data, can we claim that on average California parents spend more than the national average?

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

(2) The null hypothesis is California parents spend ["$61.5K", "$58K", "more than $58K"] on average for one kid from primary school all the way till the end of undergraduate studies.

(3) The alternative hypothesis is California parents spend ["more than $61.5K", "more than $58K", "less than $61.5K", "less than $58K"] on average for one kid from primary school all the way till the end of undergraduate studies.

(4) What condition do we need to check? ["np>=10 and n(1-p) >= 10", "n>=30", "n>=10 and p>0.5"] .

(4) This is a ["one-tailed", "two-tailed"] test. The test statistics equals ["(61.5 - 58) / ( 5/sqrt(49) )", "(58 - 61.5) / ( 5/sqrt(49) )", "(61.5 - 58) / 5", "(61.5 - 58) / sqrt(5)"] .

(5)Under the null hypothesis, the test statistic approximately follows a ["binomial", "Poisson", "standard normal"] distribution.

(6)If p-value of the test statistics is 0.0000056, we could conclude that with significance level of 5%, there is ["enough", "not enough"] evidence to claim California parents spends more than the national average.