QUESTION 13The failure time of a component is believed to be an Exponential random variable. A component life test isperformed, with the goal being to make inferences about the mean time to failure.One component is in operation at all times; in the event of failure, the failed component is immediatelyreplaced by a new component.Observation begins at time T = 0 and ends at time T = 1,740 minutes, during which time 19 failures occur.Which is the correct limits of a 98% (two-sided) confidence interval for MTTF (in minutes).O Lower limit = 52.24Upper limit = 159.21O Lower limit = 52.64Upper limit = 159.01Lower limit = 54.64Upper limit = 157.01O Lower limit = 52.64Upper limit =157.01

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Answered: QUESTION 13 The failure time of a…

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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EXPERIMENT 1: A researcher believes that on average women weigh less today than during the renaissance period around the 15th to 16th centuries. To investigate this belief, a random sample of 41 adult wômen is chosen and their weights are recorded. The mean weight of the sample is 111 pounds with a standard deviation of 12.4 pounds. Based on historical records and paintings of women from the renaissance, it is determined that the average weight of an adult women from that period would have been about 115 pounds.
Question 1 Let x be a continuous random variable that is normally distributed with a mean of 60 and astandard deviation of 9. Find the probability that x assumes a value between 55 to 75.
QUESTION 3 Mr. Jones believes that the mean income of lawyers has changed and is no longer $65 thousand per year. Which is the correct set of hypotheses to test this belief? O Ho:p 2 65,000; Ha: µ 65, 000 O Ho:u = 65, 000; Ha: µ + 65, 000 Ho:p 65, 000 O Ho:u = 65, 000; Ha: µ > 65, 000
Question 19 Provide an appropriate response. A radio station claims that the amount of advertising per hour of broadcast time has an average of 13 minutes and a standard deviation equal to 2.3 minutes. You listen to the radio station for 1 hour, at a randomly selected time, and carefully observe that the amount of advertising time is equal to 11 minutes. Calculate the z-score for this amount of advertising time. O z= 0.67 O z= -0.67 z= 0.87 O z= -0.87 A Click Submit to complete this assessment. < Question 19 of 19 Save and Submit 5:33 PM arch 3/25/2021 PrtScn Home 19 End VI0 PgUp PoDn K
Question 6: If the random variable X has a normal distribution with mean 40 and std. dev. 5, calculate the following probabilities. Р(X > 43), P(X 23).
In a population-based cohort study, an entire community was interviewed regarding smoking habits and then followed for one year. Upon ascertainment of all lung cancer deaths, the investigator obtained the following data: Number of Individuals Lung Cancer Deaths Smokers 24,500 15 Nonsmokers 10,500 2 Calculate the risk difference per 100,000 per year. Round to the tenth decima
Section 9.2 Question #8 Listed below are time intervals (min) between eruptions of a geyser. Assume that the "recent" times are within the past few years, the "past" times are from around 20 years ago, and that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Does it appear that the mean time interval has changed? Is the conclusion affected by whether the significance level is 0.10 or 0.01? Recent 77 91 90 78 57 100 61 87 69 89 83 83 55 81 73 101 61 Past 90 89 93 94 64 85 85 92 88 91 89 91 Let μ1 be the recent times and let μ2 be the past times. What are the null and alternative hypotheses? A. H0: μ1 = μ2 H1: μ1 ≠ μ2 B. H0: μ1 < μ2 H1: μ1 = μ2 C. H0: μ1 = μ2 H1: μ1 > μ2 D. H0: μ1 ≠ μ2…
Every day in the summer months a supermarket receives a shipment of peaches. The supermarket’s quality inspector arranges to have one box randomly selected from each shipment for which the number of “spoiled” peaches (out of 48 peaches in the box), which cannot be put out on the supermarket shelves, is recorded. DS 6.1.5 shows the data set obtained after 55 days. Define the population from which the sample is taken. Do you think that it is a representative sample?
Consider a simple logistic model in which the response variable is attendance at a conference (yes = 1; no = 0), and the sole independent variable is a college degree (degree = 1; no degree = 0). The estimated odds ratio for the college degree variable is 1.25. What is its proper interpretation?
Question 1 A pediatric nurse is researching weight gain in premature babies. Previous research has indicated that premature babies gain a mean of 150 grams per month (assume σ = 22.3) . The nurse is researching a new program that has the goal of increasing the mean weight gain in a month. The nurse takes a random sample of 40 premature babies to participate in the program over the next month with a resulting sample mean weight gain of 160 grams per month. What is the value of the test statistic? A. -0.45 B. 2.84 C. 0.45 D. -2.84 Question 2 A pediatric nurse is researching weight gain in premature babies. Previous research has indicated that premature babies gain a mean of 150 grams per month (assume σ = 22.3) . The nurse is researching a new program that has the goal of increasing the mean weight gain in a month. The nurse takes a random sample of 40 premature babies to participate in the program over the next month with a resulting sample mean weight…
QUESTION 18 Consider a binomial random variable where the number of trials is 12 and the probability of success on each trial is 0.25. Find the mean and standard deviation of this random variable. Mean = 4 , Standard Deviation = 2.25 Mean = 6, Standard Deviation = 2.25 Mean = 9, Standard Deviation = 1.5 %3D Mean = 3 , Standard Deviation = 1.5
A Moving to another question will save this response. Question 12 Pumps were selected randomly, and their lifetimes were noted at various points of the time interval as follows: W Pumps failed (Frequency) Class Interval (Hours) 100 - 110 110-120 16 120 - 130 130 140 140-150 35 25 Find the failure probability at t-140 (Round up to 3 decimal digits)

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