A call center hires 10 call agents and owns 11 head sets for its call agents to use. Each call agent needs a headset. But the head sets are too old that they do not function well with a probability of 5%. Assume that the problemoccurrence is inependent across head sets.Hint Use the following formulaePr(X = x)==n! =(2) p² (1 − p)²-²n!x!(n - x)!nx (n-1) x (n-2)xx2x1and approximate (0.95)≈ 0.63, (0.95)¹0≈ 0.60 and (0.95)¹¹ ≈ 0.57.(a) Let X be the number of head sets functioning well. What are the parameters for the binomial distribution forX?(b) Calculate the expected number of head sets that function well. Do you think that the call center hasenough head sets?(c) Calculate the probability that only one head set is not functioning well(d) Calculate the probability that 10 head sets or more are functioning well.(e) Calculate the probability that there are NOT enough functioning head sets.(f) Suppose that a head set is lost. Now only 10 head sets are available. Calculate the probability thatthere are enough functioning head sets. How much does this probability change due to the loss of ahead set?

A call center hires 10 call agents and owns 11 headsets.The headsets do not function well with a…

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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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Answers must be in 4 decimals 1. The probability that IEntelligent will open a review center in Quezon City is 0.7, the probability that is will open a review center in Laguna is 0.4, and the probability that it will open a review center in either QC or Laguna or both is 0.8. what is the probability that IEntelligent will locate in both locations? 2. The probability that IEntelligent will open a review center in Quezon city is 0.7, the probability that is will open a review center in Laguna is 0.4, and the probability that it will open a review center in either QC or Laguna or both is 0.8. What is the probability that IEntelligent will locate in QC only?
Use the appropriate formula to answer the question: • Independent Probability: P(A and B) = P(A) x P(B) • Conditional Probability: P(A n B) = P(A) x P(B|A) • Addition Rule: P(A or B) = P(A) + P(B) – P(A and B) True or False: Events A and B are independent? P(A) = 0.60 P(B) = 0.70 P(A and B) = 0.42 True False
The three-year recidivism rate of parolees in a certain state is about 20%; that is, 20% of parolees end up back in prison within three years. Assume that whether one parolee returns to prison is independent of whether any of the others return. Complete parts a and b below. Find the probability that exactly 6 out of 20 parolees will end up back in prison within three years. The probability that exactly 6 out of 20 parolees will end up back in prison is nothing.
Here is a few scenarios where I want you to describe how you would set up either binomialcdf or binomialpdf on your calculators. Use correct probability notation (ex P(X = 3) = .1314), and for the inequalities give a brief example of which values for X you are trying to "include" in your calculation, and the logic behind why you are setting up your calculator function in a given way. A Multiple Choice test is given consisting of 10 questions, each question having 5 possible answers, one of which is correct. Jimmy hasn't studied and prepared himself for the test, and is therefore forced to completely guess on each question. Find the probability that: (1) He gets exactly 5 (half) of the questions correct (2) He gets ALL the questions correct (3) He gets NONE of the questions correct (4) He gets at least a 60% (passing) on the test. (5) He gets at most 5 correct.
The route used by a certain motorist in commuting to work contains two intersections with traffic signals. The probability that he must stop at the first signal is 0.45, the analogous probability for the second signal is 0.5, and the probability that he must stop at at least one of the two signals is 0.9. (a) What is the probability that he must stop at both signals? X (b) What is the probability that he must stop at the first signal but not at the second one? X (c) What is the probability that he must stop at exactly one signal?
Your character, a level 1 fighter, attacks a goblin with a longsword. An attack will hit if your Attack Roll is equal to or exceeds the target's Armor Class (AC). You make an attack roll by rolling a d20 and adding your Ability Modifier (Strength in this case) and Proficiency Bonus. Suppose that you have a strength modifier of +3, a proficiency bonus of +2, and that the goblin's AC is 12. Calculate the probability that your attack will hit the goblin. Note: The ability modifier used for a melee weapon attack is Strength, and the ability modifier used for a ranged weapon attack is Dexterity. Weapons that have the finesse or thrown property break this rule.
Suppose that you repeatedly roll a pair of fair dice and keep track of the sum. What is the probability that you see a sum of 7 before you see an even sum 3 times? (In particular, you keep track of how many evens you roll, and you want the probability that you roll a 7 before you get to 3 evens.
Q. 2 The probability that a smoker who consumes over 20 cigarettes a day will suffer from chronic respiratory illness is 4 The 10 probability that he will suffer from heart disease is The 10 probability that he will suffer from at least one of these ailments is 6.5 10 (i) Find the probability that the smoker will suffer from both ailments. (ii) Find the probability that he will suffer from heart disease given that he suffers from chronic respiratory illness. (iii) Find the probability that he will suffer from chronic respiratory illness given that he suffers from heart disease. (iv) Are events "chronic respiratory illness" and "heart disease independent"?
A life insurance salesman operates on the premise that the probability that a man reaching his sixtieth birthday will not live to his sixty-first birthday is 0.050.05. On visiting a holiday resort for seniors, he sells 1010 policies to men approaching their sixtieth birthdays. Each policy comes into effect on the birthday of the insured, and pays a fixed sum on death. All 1010 policies can be assumed to be mutually independent. Provide answers to the following to 3 decimal places.Part a)What is the expected number of policies that will pay out before the insured parties have reached age 61?Part b)What is the variance of the number of policies that will pay out before the insured parties have reached age 61?Part c)What is the probability that at least two policies will pay out before the insured parties have reached age 61?
Answers must be in 4 decimals |1. Ben plans to enforce speed limits using radar traps at 4 different locations within the campus. The radar traps at each of the locations L1, L2, L3, and L4 are operated 40%, 30%, 30%, and 20% of the time, and if a person who is speeding on his way to work has probabilities of 0.2, 0.1, 0.5, and 0.2, respectively, of passing through these locations, what is the probability that he will not receive a speeding ticket? 2. Barangay Scout Fernandez has one fire truck and one ambulance available for emergencies. The probability that the fire truck is available when needed is 0.95, and the probability that the ambulance is available when called is 0.90. in the event that there is a fire in the barangay, find the probability that both the ambulance and the fire truck will be available.
Please provide steps for how you got the solution to the problem provided below. A machine is used to produce one of each of two types of product (A and B) on alternating days, i.e., if A is produced today then B will be produced tomorrow and vice versa. Each day, there is a probability that the machine malfunctions. Malfunction probability after a day of operation is 0.03 when producing A and 0.07 when producing B. Once the machine malfunctions, it is no longer operable and will not be replaced until sometime in the future (beyond modeling horizon). Model the system as a Markov chain (give transition matrix on your paper). Suppose that on Monday product A was produced. Find the probability that the machine is still operable by the morning of Thursday. Your model should have a state ”malfunction”, which cannot transition to any other state other than itself.
The probability that Mr. Johnson goes for an evening walk on any given day during the winter is 0.56. Out of 89 days of winter, the number of days that Mr. Johnson is expected not to take an evening walk to the nearest day, is

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