Consider each of the following scenarios. Assume the variable in question in each scenario comes from a normal distribution. Identify the probability that the event in question would be more extreme than what was observed or stated. A large sample of tires from cabs driven within a city have an average tire tread depth of 0.25cm at the end of the winter. If the city's average winter tire tread depth is 2.2cm, with a standard deviation of 0.33cm at the end of the same winter, what is the probability cab tires depths would be shallower than 0.25cm. If a basketball team takes an average of 16.2 free throws a game, with a variance of 6.2 free throws a game, what is the probability the team will take more than 20 free throws next game? If the class average on a statistics exam is 71.7, with a standard deviation of 8.4, what proportion of this year's class is likely to score above an 87 on the same test