8. Describes the probability of a particular outcome in a series of experiment where the outcome has two distinct possibilities, success or failure. A. Exponential distribution B. Normal distribution C. Probability distribution D. Binomial distribution
Q: 8. Find the binomial distribution whose : (i) mean is 4 and variance is 3
A: Step 1Step 2 Step 3 Step 4
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A: Let H be the discrete r.v. that represents the number of heads obtained when a fair coin is flipped…
Q: If 15 P(5) = AP(1) in Poisson's distribution, what is the mean?
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A: As you had asked to do 6th question only so i had solved it only
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Q: 3 4 5 6 7 8 0.3100 0.1200 0.1700 0.1200 0.1300 0.1000
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A: Hi there! Thanks for posting the question. Since there are multiple questions, we will solve one…
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A: 1) From the provided information,
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Q: Find the mean and variance for the binomial distribution n= 50 and p= 0.25
A: Answer: From the given data, Using binomial distribution with parameters, n = 50 p = 0.25
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Q: 10. Consider the following probability distribution: ( 2. 4. 0.5 0.3 0.2 a. Find P(X 4). b. Find P(X…
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- catChing, 5.95 Sick leave time used by employees of a firm in the course of 1 month has approximately a normal distribution with a mean of 180 hours and a variance of 350 hours. a Find the probability that the total sick leave for next month will be less than 150 hours. In planning schedules for next month, how much time should be budgeted for sick leave if that amount is to be exceeded with a probability of only 0.10? Manmano s The fallowing histograms each represent binomial distributions. Each distribution has the same number of trials n but different probabilities of success p. Match p 0.4, P3D0.5, p-0.7 with the correct graph. O A. (a) p 0.5, (b) p=0.4, (c) p=0.7 O B. (a) p 0.4, (b) p=0.7, (c) p 0.5 OC. (a) p=0.7, (b) p=0.4, (c) p=0.5 O D. (a) p= 0.7, (b) p=0.5, (c) p= 0.4 O E. (a) p= 0.5, (b) p=0.7, (c) p=0.4 OF (a) p 0.4, (b) p=0.5, (c) p= 0.7 (b)P(x) 0. 0.6- (a) P(x) 0.7- 0.6- 0.5- 0.4 0.3- 0.2- 0.1- 0.3 0.2 0.1 (c) P(x) 0.7- 0.6 0.4- 0.2- 0.1. 0- 01234 Click to select your answer.Find the variance of the above random variable random variable
- You want to find the probability of getting a z score less than or equal to 1.2. Which distribution would be the best for calculating this probablity5. Let Y be a normally distributed random variable with mean = 0 and variance a=1. Use the method of transformation to find the probability distribution of U=Y². What is the name of this distribution?Suppose you were given this Joint Probability Distribution: y = number of times city name is stated 1 Find the conditional mean and variance of Y|3 Mean = Blank 1 Variance = Blank 2 x = number of bars of signal strength 2 3 4 0.15 0.1 0.05 3 0.02 0.1 0.05 20.02 0.03 0.2 1 0.01 0.02 0.25 0.2 0.25 0.55 Marginal probability distribution of X Marginal probability distribution of Y 0.3 0.17 0.25 0.28
- Talent Corp is a HR-consulting firm. The number of new clients that they have obtained each month has ranged from 0 to 6. The number of new clients has the probability distribution that is shown below. Number of New Clients Probability 0 0.05 1 0.10 2 0.15 3 0.30 4 0.25 5 0.10 6 0.05 Compute the expected number of new clients each month. Compute the variance and standard deviation for the expected number of new clients. What is the probability that there will be 2 or fewer clients next month?Illustraiion 17.34. Mean of a distribution is 2.0. What are the probabilities corresponding to various successes 0, 1, 2,.., assuming that the Poisson distribution explains the data. If the total frequencyIn an experiment on children’'s behavior, children are placed in an area with 3 toys. The chart below gives the probability distribution of the number X of toys the children play with. 4. Toys 1 Probability .06 .35 .28 .31 What are the mean value, variance, and standard deviation for this distribution?
- Find the mean and variance of the following discrete random variable distribution.? ?(?)0 0.35 1 0.45 2 0.16 3 0.04Suppose you were given this Joint Probability Distribution: x=number of bars of signal strength x=number of bars of signal strength x=number of bars of signal strength x=number of bars of signal strength y=number of times city name is stated 1 2 3 Marginal probability distribution of y 4 0.15 0.1 0.05 0.3 3 0.02 0.1 0.05 0.17 2 0.02 0.03 0.2 0.25 1 0.01 0.02 0.25 0.28 0.2 0.25 0.55 Marginal probability distribution of x Marginal probability distribution of x Marginal probability distribution of x Marginal probability distribution of x Find the conditional mean and variance of Y|3 Mean = Variance =r a standardized psychology examination intended for psychology majors, the historical data show that scores have a mean of 510 and a standard deviation of 170 . The grading process of this year's exam has just begun. The average score of the 40 exams graded so far is 526 . What is the probability that a sample of 40 exams will have a mean score of 526 or more if the exam scores follow the same distribution as in the past? Carry your intermediate computations to at least four decimal places. Round your answer to at least three decimal places.