5. Use 95% rule and the fact that the data set comes from a distribution that is bell shaped distribution with mean 100 and standard deviation 15 to find an interval that is expected to contain about 95% of the data values. (1pt) 1. Suppose a survey included 46 students who smoke and 325 who don't smoke. Find the sample proportion of who don't smoke, p. (1pt) 2. An experiment to study the effects of financial incentives to quit smoking was conducted. Smokers at a company were invited to participate in a smoking cessation program and randomly assigned to one of two groups. Those in the Reward group would get a cash award if they stopped smoking for six months. Those in the Deposit group were asked to deposit some money which they would get back along with substantial bonus if they stopped smoking. After six months, 156 of the 914 smokers who accepted the invitation to be in the reward-only program stopped smoking while 78 of the 146 smokers who paid a deposit quit. Set-up a two way table. Then, find the proportion of people who quit smoking. (3pts) 3. The number of grams of fiber eaten in one day for a sample of ten people are, 10, 11, 11, 14, 15, 17, 21, 24, 28, 53 a. Find the mean and median.(1pt) b. Test weather there is (are) outlier(s) in the given dataset using the formal rule (IQR method). If yes, compute the mean and median without the outlier. (3pt) c. Comment on the effect of the outlier on the mean and the median. (1pt) 4. Find the z score for the GPA score 3.8 with mean GPA score 3 and standard deviation 0.6. (2pts)