# Question

Table 8E.4 presents data on the waiting time in minutes) to see a nurse or physician in a hospital emergency department. Prepare a normal probability plot of these data. The hospital has a policy of seeing all patients initially within ten minutes of arrival.

(a) Prepare a normal probability plot of these data. Does the normal distribution seem to be an appropriate model for these data?

(b) Prepare a normal probability plot of the natural logarithm of these data. Does the normal distribution seem to be an appropriate model for the transformed data?

(c) Based on the data in Table 8E.4 and the normal probability plots, what proportion of the patients will not see a nurse or physician within 10 minutes of arrival?

(a) Prepare a normal probability plot of these data. Does the normal distribution seem to be an appropriate model for these data?

(b) Prepare a normal probability plot of the natural logarithm of these data. Does the normal distribution seem to be an appropriate model for the transformed data?

(c) Based on the data in Table 8E.4 and the normal probability plots, what proportion of the patients will not see a nurse or physician within 10 minutes of arrival?

## Answer to relevant Questions

A process is in statistical control with x = 202.5 and s = 2.0. Specifications are at LSL = 196 and USL = 206. (a) Estimate the process capability with an appropriate process capability ratio. (b) What is the potential ...A normally distributed quality characteristic has specification limits at LSL = 10 and USL = 20. A random sample of size 50 results in x =16 and s =1.2 . (a) Calculate a point estimate of Cpk. (b) Find a 95% confidence ...In a study to isolate both gauge repeatability and gauge reproducibility, two operators use the same gauge to measure ten parts three times each. The data are shown in Table 8E.10. (a) Estimate gauge repeatability and ...Perform a process capability analysis using x and R charts for the data in Exercise 6.7. How large a sample is required to obtain a natural tolerance interval that has probability 0.90 of containing 95% of the distribution? After the data are collected, how would you construct the interval?Post your question

0