27. Lower Limb Surgery. The study "Intrathecal Sufentanil ver- sus Fentanyl for Lower Limb Surgeries- A Randomized Controlled Trial" (Journal of Anaesthesiology Clinical Pharmacology, Vol. 27, Issue 1, pp. 67-73) by P. Motiani et al. compares two different agents, intrathecal sufentail and fentanyl, used in enhancing the anesthesiol- ogy of patients receiving major lower limb surgery. One variable com- pared between the two agents was the amount of blood loss during the surgery. Based on the study, we will assume that, using fentanyl, the amount of blood loss during major lower limb surgery is normally distributed with mean 283.3 ml and standard deviation 83.3 ml. Find the percentage of patients whose amount of blood loss during major lower limb surgery using fentanyl is a. less than 304 ml. b. between 221 and 429 ml. c. more than 450 ml.
27. Lower Limb Surgery. The study "Intrathecal Sufentanil ver- sus Fentanyl for Lower Limb Surgeries- A Randomized Controlled Trial" (Journal of Anaesthesiology Clinical Pharmacology, Vol. 27, Issue 1, pp. 67-73) by P. Motiani et al. compares two different agents, intrathecal sufentail and fentanyl, used in enhancing the anesthesiol- ogy of patients receiving major lower limb surgery. One variable com- pared between the two agents was the amount of blood loss during the surgery. Based on the study, we will assume that, using fentanyl, the amount of blood loss during major lower limb surgery is normally distributed with mean 283.3 ml and standard deviation 83.3 ml. Find the percentage of patients whose amount of blood loss during major lower limb surgery using fentanyl is a. less than 304 ml. b. between 221 and 429 ml. c. more than 450 ml.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Could you please answer letter c? Thank you.
Expert Solution
Step 1
Consider that the mean and standard deviation of a random variable X are µ and σ, respectively.
Thus, the z-score of that random variable X is z = (X – µ)/σ.
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