In a certain city, the daily consumption of water (in millions of liters) follows approximately a gamma distribution with a = 4 and ẞ=2. If the daily capacity of that city is 4 million liters of water, what is the probability that on any given day the water supply is inadequate?
Q: The random variable X is exponentially distributed, where X represents the waiting time to see a…
A: The random variable X, which reflects the time it takes to see a shooting star during a meteor…
Q: Suppose a population is known to be normally distributed with a mean, μ, equal to 116 and a standard…
A: Given information Mean = 116 Standard deviation = 14 between 102 and 130
Q: A population of scores has μ = 25 and σ = 1. If 3 points are added to every score in the population,…
A: From the given information, Consider , X be the random variable which denotes the scores. Ex=μ=28σ=1…
Q: A brand of detergent is sold in bottles with a mean volume of 0.750 litres and a standard deviation…
A: The mean is 0.750 and the standard deviation is 0.009.
Q: In the US, the systolic blood pressure is normally distributed with a mean of 125 mmHg and a…
A: We have given that Mean(µ) = 125Standard deviations (σ) = 28.7
Q: Suppose now that the mean µ and standard deviation σ of this distribution are both unknown.…
A: With the general assumption, the distribution of driving speed of drivers in US is considered to be…
Q: Assume the below life table was constructed from following individuals who were diagnosed with a…
A: Given: The survival probability is to be determined based at year 1 using the Kaplan-Meir approach.…
Q: The probability of randomly selecting a red marble from a jar that contains 10 red marbles and 20…
A: From the given information,A jar contains 10 red marbles and 20 blue marbles. Total number of…
Q: Assume the probability that a maple tree at age 5 grows less than 150 cm is equal to 0.3. If the…
A: Given Data: Let X represent the height of the maple tree P(X<150)=0.3 σ=64=8
Q: Ghughesh.9
A: The objective of this question is to find the value of 'a' in the probability function P(Z>a)…
Q: The natural logarithm of the lifetime (i.e., take the natural log of the lifetime, in hours) of a…
A: Let X be the lifetime of a considered type of bulb. The distribution of X can be stated as Y =…
Q: (a) the average time in the line. (b) the average number in the line. (c) the average time in the…
A: Here Given Arrival Rate=λ= 10 Customer per hour Service rate = μ =604= 15 Customer per hour…
Q: A manufacturer knows that their items lifespans are normally distributed according to…
A:
Q: Q.1 The magnitude of earthquakes recorded in a region of North America can be modeled as having an…
A: Given data: Exponential distribution with mean = 2.6
Q: Suppose that the monthly demand for a consumer good follows a normal distribution with an average of…
A: From the given information, Consider, X that the monthly demand for a consumer good follows a normal…
Q: Assume the probability that a maple tree at age 5 grows less than 170 cm is equal to 0.25. If the…
A: Given that, P(X<170) = 0.25 We know that 0.25 is the 60th percentile for normal distribution, Or…
Q: The type of battery in Jim's laptop has a lifetime (in years) which follows a Weibull distribution…
A: Given The type of battery in Jim's laptop has a lifetime (in years) which follows a Weibull…
Q: Time spent on a computer is gamma distributed with a = 4 and B = 7. I. What is the probability that…
A: Given that: The time spent on a computer is gamma distributed with α=4 and β=7
Q: At a train station, there are 7 ticket vending machines. Customers waiting line to buy tickets from…
A: Given information: Number of Vending machines=c=7 Arrvival time=2 minutesλ=12 per minutes=12×60 per…
Q: 2. Losses have an exponential distribution with a mean of 2,000. An insurance company will the…
A: Given data Losses have an exponential distribution with a mean of 2000 An insurance company will pay…
Q: The probability that a person who exercises and eats well has a heart attack is predicted to be 0.5…
A: We know that if; Y~Binomial(n,p)Then the expected value of Y is;E(Y)=npand the standard deviation of…
Q: a. What is the probability that a laser fails before 6060 hours? b. If 9 lasers are used in a…
A: The lifetime of a semiconductor laser at a constant gower is normally distributed with a mean of…
Q: Chapter 07, Section 7.4, Problem 041 X Your answer is incorrect. Try again. A machine at Katz Steel…
A: Let the random variable X be the length of nails. Given that the length of nails normally…
Q: Question 4 Assume that the probability of a randomly selected person getting in a car accident…
A: Here, given that probability of accident during the length of the insurance of the policy is 0.0014.…
Q: e it takes me to wash the dishes is uniformly distributed between 5 minutes and 11 minut the…
A: Consider, X be the time taken for the washing the dishes.Thus, we have X~U(5, 11).Here Lower, i.e,…
Q: The random variable X is exponentially distributed, where X represents the waiting time to see a…
A: Denote X as the waiting time during a meteor shower, to observe a shooting star. It is given that X…
Q: glucose per deciliter (1/10 of a liter) of blood. Suppose that after a 12-hour fast, the random…
A: We Have to find given probability..
Q: Suppose that in a large population of women (aged 20 to 29-years-old) that the mean serum…
A: From the given information ,Population mean , 183Population standard deviation , 37sample size , n =…
Q: Suppose a population is known to be normally distributed with a mean, μ, equal to 116 and a standard…
A: Obtain the standard z-score for X equals 102. The standard z-score for X equals 102 is obtained…
Q: A. The dogs owner wants to be certain about a diagnosis so he takes a series of n identical medical…
A: Events:D: Owners dog has the disease being tested for.Tj: Owners dog tests positive on the jth test…
Q: Assume that IQ scores are normally distributed with a mean 101.9 pts and a standard deviation of…
A: GivenMean(μ)=101.9standard deviation(σ)=11.8let "x" be the IQ score of a randomly selected person
Q: The amount of time spouses shop for anniversary cards can be modeled by an exponential distribution…
A: 5. Let , The probability density function ox is , = 0 ; otherwise Here ,
Q: Suppose the returns on long-term corporate bonds are normally distributed. Suppose the historical…
A: The population mean is 6.6% and the standard deviation is 16.5%.
Q: Consider the ski gondola from Question 3. Suppose engineers decide to reduce the risk of an overload…
A: To find the probability that a group of 15 randomly selected skiers will overload the gondola, we…
Q: The random variable for a person's taxi waiting time has an exponential distribution and the average…
A: We have to find given probability.
Q: Question 4 As a part of the productivity assessment at a company, the HR manager carried out a…
A: 4. Let X denote time spent at work per week. Given- X~N35, 4 a. To calculate P[X<40] CLT is used…
Q: QUESTION 4: If the average yield of cucumber acre is 800 kg, with a variance 1600 kg, and that…
A:
Q: The life (in months) of a certain computer component is exponentially distributed with mean 5. Find…
A:
Q: A machine at Katz Steel Corporation makes 5-inch-long nails. The probability distribution of the…
A: Given that: The probability distirubution of the lengths of these nails is approximately normal with…
Q: A population with u = 45 and o = 10 is standardized to create a new distribution withu= 100 and o =…
A:
Step by step
Solved in 1 steps
- A person's blood glucose level and diabetes are closely related. Let x be a random variable measured in milligrams of glucose per deciliter (1/10 of a liter) of blood. Suppose that after a 12-hour fast, the random variable x will have a distribution that is approximately normal with mean u = 86 and standard deviation o = 26. Note: After 50 years of age, both the mean and standard deviation tend to increase. For an adult (under 50) after a 12-hour fast, find the following probabilities. (Round your answers to four decimal places.) A USE SALT (a) x is more than 60 0.8315 (b) x is less than 110 (c) x is between 60 and 110 (d) x is greater than 125 (borderline diabetes starts at 125)6. The magnitude (Richter scale) of earthquake along a Taiwanese fault is exponentially distributed, with A= (1/2.5). What is the probability of an earthquake exceeding magnitude 6.4? There is 1 earthquake per year (on average) along the fault with magnitude greater than 5.5. Given this, what is the probability of an earthquake during the year that exceeds magnitude 7.2?The magnitudes of earthquakes recorded in a region of North America can be modeled by an exponential distribution with a mean of 2.4 as measured on the Righter scale. Of the next 10 earthquakes to strike this region, find the probability that at least one will exceed 5.0 on the Richter scale.
- The lifetime, in years, of a certain type of electrical switch has an exponential distribution withan average lifetime of 2 years. Question. For a single system, what is the probability we can keep one switching mechanismoperable for 10 years if we assume we can replace a switch due to failures up to three timesduring the 10-year period?The manager of a supermarket tracked the amount of time needed for customers to be served by the cashier. After checking with his statistics professor, he concluded that the checkout times are exponentially distributed with a mean of 5 minutes. What propotion of customers require more than 10 minutes to check out?An article in a magazine discussed the length of time till failure of a particular product. At the end of the product's lifetime, the time till failure is modeled using an exponential distribution with a mean of 500 thousand hours. In reliability jargon this is known as the "wear-out" distribution for the product. During its normal (useful) life, assume the product's time till failure is uniformly distributed over the range 200 thousand to 1 million hours. Complete parts a through c. a. At the end of the product's lifetime, find the probability that the product fails before 600 thousand hours. (Round to four decimal places as needed.)
- Suppose that the time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with A = 0.0003. • What proportion of the fans will last at most 10,000 hours? • What proportion of the fans will last at least 7000 hours? a. 0.0498, 0.8775 Ob. NONE Oc 0.0498, 0.1225 Od.0.0502, 0.1225The lifetime T (in years) for a particular type of electric toothbrush is assumed to have the probability density f given by t 0 ≤ t ≤6 f(t) = {+ 3 18 otherwise.b. The lifetime X of a particular species is assumed to be exponentially distributed with mean 75 time units. Find the probability that a member of this particular species picked at random survives: i. more than 90 time units; less than 70 time units; between 70 and 85 time units. ii. iii. iv. Calculate Var(X).
- Two geysers that are near to each other are labelled as Geyser A and Geyser B. The time between eruptions for a given geyser follows an exponential distribution. The eruption times of the two geysers are independent of one another. The mean amount of time between eruptions of Geyser A is 39 minutes, and the mean amount of time between eruptions of Geyser B is 66 minutes. Given that exactly one of the geysers erupts within the next 49 minutes, determine the probability that it will be Geyser A. O 0.6654 0.7850 O 0.7252 O 0.6953 O 0.75515. A pressure transducer regulates a climate control system in a factory. The transducer fails according to an exponential distribution with rate one failure every five years on average. a. What is the cumulative distribution function of the time until failure? b. What is the probability that a transducer chosen at random functions for eight years without failure? irteen Reliability and Maintainability c. What is the probability that a transducer that has functioned for eight years con- tinues to function for another eight years?Suppose that the number of traffic accident claims received in a month is modeled by Poisson distribution with intensity λ = 4. Assume that each traffic accident claim takes values $150, $300 or $450 equally likely. Calculate the probability that the total traffic accident claim amounts to exactly $1500.