A private hospital stocks a "code blue" resuscitation kit that has a normally distributed demand during the reorder period. The mean (average)demand during the reorder period is 350 kits, and the standard deviation is 10 kits.QUESTION 9What is the probability that during the reorder period, the demand for the "code blue" resuscitation kits oscillated between 329 and 375 kits?A. 0.9759B. 0.0241C. 0.4821D. 0.4938QUESTION 10What is the probability that on a particular day during the reorder period, the demand for the "code blue" resuscitation kits exceeded 373 kits?A. 0.1026B. 0.0179C. 0.0107D. 0.2775

From the information, given thatLet X denotes the demand for the " code blue" resuscitation kits…

Answered: A private hospital stocks a code blue…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose the tires on your car have an average life expectancy of 60,000 miles, with a standard deviation of 10,000. When should you change your tires if you want a 95% probability of not having a blow-out while driving. 40,000 miles 38,000 miles 57,000 miles None of the above
A mechanic sells a brand of automobile tire that has a life expectancy that is normally distributed, with a mean life of 28,000 miles and a standard deviation of 2800 miles. He wants to give a guarantee for free replacement of tires that don't wear well. How should he word his guarantee if he is willing to replace approximately 10% of the tires? Tires that wear out by ___ miles will be replaced free of charge.
An electrical firm manufactures light bulbs that have a length of life that is normally distributed with mean equal to 787 hours and a standard deviation of 41 hours. Find the probability that a bulb burns between 769 and 806 hours. 0.3228 0.33 0.6772 0.3473
The level of nitrogen oxides (NOX) and nonmethane organic gas (NMOG) in the exhaust over the useful life (150,000150,000 miles of driving) of cars of a particular model varies Normally with mean 8080 mg/mi and standard deviation 66 mg/mi. A company has 1616 cars of this model in its fleet. Using Table A, find the level ?L such that the probability that the average NOX + NMOG level ?¯x¯ for the fleet greater than ?L is only 0.030.03 ? (Enter your answer rounded to three decimal places. If you are using CrunchIt, adjust the default precision under Preferences as necessary. See the instructional video on how to adjust precision settings.)
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A certain city the Transportation Authority (CTA) has trollies leaving regularly throughout the day beginning at 5:00 a.m. Although the length of a trip and the number of stops are constant, the time taken for each trip varies due to weather, traffic, and time of the day. According to the CTA, the mean time taken for the trip is 50 minutes. Suppose the travel time is Normally distributed with standard deviation o = 4 minutes. A random sample of 25 trips is obtained, and the time for each is recorded. Find the probability that the sample mean time will be less than 48 minutes.
A sample of values taken from a normally distributed population are 6.8, 7.2, 5.4, 8.8 and 10.2. If the standard deviation of the population is 2.1 determine the range of the sample values within which the mean of the population has a 95% probability of lying.
At a large department store, the average number of years of service was 13.5 years with a standard deviation of 6.2 years. If an employee is picked at random, what is the probability that the employee has worked for the company over 23 years? 0.0318 0.0416 0.0416 0.0627
The photoresist thickness of wafers in semiconductor manufacturing has a mean of 10.6 micrometers and a standard deviation of 1.3 micrometers. An engineer takes a sample of 50 wafers once a week and calculates the mean thickness of these wafers. If the mean of this sample is either less than 10.41 micrometers or greater than 10.79 micrometers, the engineer will conclude that the machine needs an adjustment. The probability that, based on a sample of 50 wafers, the engineer will conclude that the machine needs an adjustment is: O 0.6970 O 0.1091 O 0.3030 O 0.2522 O 0.1506
Solon commutes daily from his home to school. On the average, the trip takes 84 minutes, with a standard deviation of 12 minutes. Assume that the travel time is normally distributed. He leaves his house at 7:45 am.If his next class has a quiz from 9:00 am to 9:10 am, what is the probability that he will only arrive in class at some point during the quiz?How long will his travel time be in the longest 5% of trips?Suppose that he has meetings at 9:15 am for the next four days. Find the probability that he will be late in at least two of these meetings.
Fast-food restaurants spend quite a bit of time and money studying the amount of time cars spend in the drive-through. In 2007, QSR Magazine studied drive-through times at fast-food restaurants, and Wendy's had the best time, with a mean time of 138.5 seconds with a standard deviation of 29 seconds. Assuming that the data was normally distributed, use R to answer the following: Find the probability that a randomly selected car gets through Wendy's drive-through in less than 100 seconds. а) Find the probability that a randomly selected car gets through Wendy's drive-through in over 3 minutes... b) c) Find the probability that a randomly selected car in at the drive-through from 2 to 3 minutes. If Wendy's has 350 cars go through the drive-through in one day, how many of these cars were in the drive-through between 2 and 3 minutes? d) e) What drive-through time represents the cut-off for the lowest 25% of times (the bottom quartile)? f) Suppose that Wendy's wants to institute a policy…
The probability is 0.02 that an item produced by a factory isdefective. A shipment of 10,000 items is sent to its warehouse. Find the expectednumber of defective items and the standard deviation.

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