Although older Americans are most afraid of crime, it is young people who are more likely to be the actual victims of crime. It seems that older people are more cautious about the people with whom they associate. A national survey showed that 10% of all people ages 16–19 have been victims of crime. At Jefferson High School, a random sample of n = 68 students (ages 16–19) showed that r = 10 had been victims of a crime.
(a) Do these data indicate that the population proportion of students in this school (ages 16–19) who have been victims of a crime is different (either way) from the national rate for this age group? Use α = 0.05. Do you think the conditions np > 5 and nq > 5 are satisfied in this setting? Why is this important?
(b) Find a 90% confidence interval for the proportion of students in this school (ages 16–19) who have been victims of a crime.
(c) How large a sample size should be used to be 95% sure that the sample proportion 
is within a margin of error E = 0.05 of the population proportion of all students in this school (ages 16–19) who have been victims of a crime? Use sample data  as a preliminary estimate for p.
Use the following steps (i)–(v) for all hypothesis tests:
(i) What is the level of significance? State the null and alternate hypotheses.
(ii) Requirements What sampling distribution will you use? What assumptions are you making? What is the value of the sample test statistic?
(iii) Find (or estimate) the P-value. Sketch the sampling distribution and show the area corresponding to the P-value
(iv) Based on your answers in parts (i)–(iii), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?
(v) Your conclusion in the context of the application.