The lifetime of a battery after production from the factory is normally distributedwith an average life span of 48 hours and a standard deviation of 3.5 hours. Tobe considered non-defective a battery must last at least 54 hours. What is theprobability that a randomly selected battery is non-defectiveO a. 0.43b. 0.32O c. 0.034O d. 0.043

Answered: The lifetime of a battery after…

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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Similar questions

The weight of checked bags for a major airline can be modeled by a normal curve with mean 35.6 pounds and standard deviation 4.8 pounds. Use the 68-95-99.7 rule to approximate the probability that a randomly selected checked bag weighs more than 45.2 pounds. a.0.68 b.0.025 c.0.95 d.0.16
A population of heights is normally distributed with a mean of 68.8 inches and a standard deviation of 4.6 inches. Suppose a person is randomly selected from this population. What is the probability that the person's height is greater than 71 inches? A. 0.16 B. 0.32 C. 0.68 D. 0.84
The average salary for a civil engineering major is $75,000 with a standard deviation of $10,000. In the previous exercise a university asked one class of 80 students to give their salaries after they graduate. The graduating class of all civil engineers at the university is 200 students. Find the probability the average salary of the 200 students is between $73,000 and $77,000. 0.995 O 0.16 O 0.68
Draw a probability curve with your answer
A random sample of 40 computer chips is drawn from population and the weight of each recorded. A previous study showed that the population mean weight was 0.8 ounces with a standard deviation of 0.1 ounces. What is the probability that the sample has a mean weight between 0.75 and 0.90 ounces?
An expensive watch is powered by a 3-volt lithium battery expected to last four years. Suppose the life of the battery has a standard deviation of 0.3 year and is normally distributed a. Determine the probability that the watch's battery will last longer than 4.2 years. b. Calculate the probability that the watch's battery will last more than 3.35 years c. Compute the length-of-life value for which 10% of the watch's batteries last longer. Round answers to 4 decimal places
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.)
c. Vehicle speeds at a highway location have a normal distribution with mean u = 65 mph and standard deviation o = 5 mph. Find the probability that a randomly selected vehicle speed is greater than 73 mph.
The patient recovery time from a particular surgical procedure is normally distributed with a mean of 5.65.6 days and a standard deviation of 2.12.1 days. What is the probability of spending more than two days in recovery? A.) 0.9568 B.) 0.0432 C.) 0.8922 D.) 0.0401
The amount of time a marker takes to mark a single Advanced Business Statistics exam script has a normal distribution with mean 336 seconds and standard deviation 198 seconds. One script is selected at random. Find the probability that it takes the marker more than 500 seconds to complete marking this script. A. 0.2033 B. 0.2967 C. 0.7033 D. 0.7967
A population of values has a mean of 38.5 and standard deviation of 80.4. Find the probability that a sample of 247 values from this population will have a mean between 31.3 and 44.1.
The average amount of time until a car accident on a particular 60 mile stretch of road is 30 minutes. Assume(unreasonably) that car accidents are independent, the time to a car accident is exponentially distributed, and that two accidents cannot occur at the same time. a. What is the probability of a car accident occurring in the first hour?b. What is the probability of a car accident occurring between 15 and 45 minutes? c. What is the variance of the time until a car accident occurs? If a car accident has not happened in 2 hours, what is the probability it will happen in the next hour? DO NOT USE THE INTEGRATION METHOD PLEASE.

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