In: Statistics and Probability
What relationship exists between the standard normal distribution and the box-plot methodology for describing distributions of data by means of quartiles? The answer depends on the true underlying probability distribution of the data. Assume for the remainder of this exercise that the distribution is normal. Complete parts a through e below. a. Calculate the values z Subscript Upper L and z Subscript Upper U, the lower and upper values of the standard normal random variable z respectively, for the lower and upper quartiles Upper Q Subscript Upper L and Upper Q Subscript Upper U of the probability distribution. z Subscript Upper Lequals nothing z Subscript Upper Uequals nothing (Round to two decimal places as needed.) b. Calculate the values z Subscript Upper L and z Subscript Upper U, the lower and upper values of the standard normal random variable z respectively, for the inner fences of the box plot for a normal probability distribution. z Subscript Upper Lequals nothing z Subscript Upper Uequals nothing (Round to two decimal places as needed.) c. Calculate the values z Subscript Upper L and z Subscript Upper U, the lower and upper values of the standard normal random variable z respectively, for the outer fences of the box plot for a normal probability distribution. z Subscript Upper Lequals nothing z Subscript Upper Uequals nothing (Round to two decimal places as needed.) d. What is the probability that an observation lies beyond the inner fences of a normal probability distribution? The outer fences? The probability that an observation lies beyond the inner fences is nothing. The probability that an observation lies beyond the outer fences is nothing. (Round to three decimal places as needed.) e. Do these values help to explain why the inner and outer fences of a box plot are used to detect outliers in a distribution? Explain. ▼ No, Yes, because it is ▼ relatively unlikely relatively likely extremely likely extremely unlikely that an observation lies beyond the inner fences, and ▼ relatively likely relatively unlikely extremely likely extremely unlikely that an observation lies beyond the outer fences.