quotas-es?! 1. Statistics Canada studies show that the average Canadian drinks 68 liters of beer per year. The distribution is normal and the standard deviation is 15 liters. A random sample of 25 Canadians is taken. Give the sampling distribution of the sample mean. What is the probability of our sample having a mean greater than 62 liters. What is the probability of our sample having a mean less than 65 liters? What is the probability of our sample having a mean between 70 and 75 liters? What is the probability of a sample mean within 6 liters of the population mean? What is the range of means for the top 10% of samples? Is the assumption that the shape of the distribution of peoples' beer consumption is normal reasonable?(Hint - compare what the normal distribution predicts to your own observations of peoples' beer drinking habits)