The service time for an application in a workplace is modelled as an exponential random variable with parameter λ = 5 per hour, independent and identically distributed for all applicants. Determine the maximum number of applicants such that the probability

The service time for an application in a workplace is modelled as an exponential random variable with parameter λ = 5 per hour, independent and identically distributed for all applicants. Determine the maximum number of applicants such that the probability

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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Q. 1 t is estimated that 809% of emails are spam emails. Some software has been applied to filter these spam emails before they reach our inbox. A certain brand of software claims that it can detect 99% of spam emails, and the probability for a false positive (a non-spam email detected as spam) is 5%. Now if an email is detected as spam, then what is the probability that it is in fact a non-spam email? event A: email is spam; event B: email is detected as spam. Assume that
Three components are randomly sampled, one at a time, from a large lot. As each component is selected, it is tested. If it passes the test, a success (S) occurs; if it fails the test, a failure (F) occurs. Assume that 82.0% of the components in the lot will succeed in passing the test. Let X represent the number of successes among the three sampled components. Find P(X= 3). (Round the final answer to three decimal places.)
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In experiment of flipping two coins, each coin has two faces: Head and Tail. Each face is being equally likely to be drawn. If two random variables X and Y are defined as X(s) = Number of Heads appeared on both coins Y(s) = Number of Tails appeared on both coins The value of pxy (2,0) is 00.5 00 01 00.25
Assume the chances of failure of each component is given in Figure. What is the probability that the system would not work? .
Let a be a random variable representing the percentage of protein content for early bloom alfalfa hay. The average percentage protein content of such early bloom alfalfa should be u = 17.2%. A farmer's co-op is thinking of buying a large amount of baled hay but suspects that the hay is from a later summer cutting with lower protein content. A small amount of hay was removed from each bale of a random sample of 50 bales. The average protein content from the samples was determined by a local agricultural college to be -15.8% with a sample standard deviation of S = 5.3%- At a = .05, does this hay have lower average protein content than the early bloom alfalfa?
solve a and b fast
Nationally, about 11% of the total U.S. wheat crop is destroyed each year by hail.† An insurance company is studying wheat hail damage claims in a county in Colorado. A random sample of 16 claims in the county reported the percentage of their wheat lost to hail. 16 6 8 9 10 18 14 13 9 10 25 18 13 8 14 3 The sample mean is x = 12.1%. Let x be a random variable that represents the percentage of wheat crop in that county lost to hail. Assume that x has a normal distribution and σ = 5.0%. Do these data indicate that the percentage of wheat crop lost to hail in that county is different (either way) from the national mean of 11%? Use ? = 0.01. (a) What is the level of significance? Compute the z value of the sample test statistic. (Round your answer to two decimal places.)(c) Find (or estimate) the P-value. (Round your answer to four decimal places.)
Let X represent the number of homes a real estate agent sells during a given month. Based on previous sales records, she estimates that P(0)= 0.62, P(1)= 0.21, P(2)= 0.13, P(3)= 0.03, P(4)= 0.01, with negligible probability for higher values of x. Find the long-term average number of homes the real estate agent expects to sell each month.
A study completed in 2018 found that approximately 1 out of every 20 people have walked out of a restaurant without paying the bill (the dine and dash). A random sample of 150 people is collected. a. What is the probability that more than 10% of them have walked out of a restaurant without paying?P( p̂ > 0.1)= b. What is the probability that less than 3% of them have walked out of a restaurant without paying?P( p̂ < 0.03)= c. What is the probability that between 5% and 10% of them have walked out of a restaurant without paying?P(0.05 < p̂ < 0.1)=
Benford's Law claims that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with "1" as the leading digit is about 0.301. Suppose you are an auditor for a very large corporation. The revenue report involves millions of numbers in a large computer file. Let us say you took a random sample of n = 250 numerical entries from the file and r = 60 of the entries had a first nonzero digit of 1. Let p represent the population proportion of all numbers in the corporate file that have a first nonzero digit of 1. Test the claim that p is less than 0.301 by using α = 0.01. What does the area of the sampling distribution corresponding to your P-value look like? a. The area in the right tail of the standard normal curve. b. The area not including the right tail of the standard normal curve.…
A school district has a standardized test that it uses to determine placement into special classes. The superintendent is looking to determine whether male and female students have different scores on the test. The scores for a random sample of 25 male students and 25 female students are recorded. Assume that the scores are normally distributed for both male and female students. Let the male students be the first sample, and let the female students be the second sample. Is there enough evidence, at a = 0.01 to show a difference between male and female scores? Identify the degree of freedom and the critical value(s) to be used for this hypothesis test. Do not round; use the exact value from the t-table. Degree of freedom = Provide your answer below: Critical Value(s) = Males Females x1 = 168x2 = 171 $1 = 14 $2 = 17 n1 = 25 n2 = 25 Probability Degrees of Freedom 23 24 25 26 27 28 29 0.10 0.05 0.025 0.01 0.005 1.319 1.714 2.069 2.500 2.807 1.318 1.711 2.064 2.492 2.797 1.316 1.708 2.060…