Random variable X has the distributionk3-k31P(X=k)kke {0,1,2,3}3Determine:(a) the most likely value of the random variable X(b) the median

If a experiment has two outcomes, that is number of success and failure, then it is measured using…

Answered: Random variable X has the distribution…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The expected value of a random variable X that is denoted by uis called its: a. median. O b. variance. mean. O d. mode.
نقطتان )2( Q8) Find the variance of the following probability * ?distribution 1 2 4 f(x) 0.22 0.12 0.52 0.14 0.6891 O 0.8256 O 0.251 O 0.9636 O 0.9531 O
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deviation of x to 5? Explain to someone who knows nothing about statistics the measurement to reduce the standard advantage of of a single measurement. reporting the average of several measurements rather than the result A sample of young men, continued. Suppose that the blood cholesterol levels of all men age 20 to 34 years follows the Normal distribution with mean per deciliter (mg/dl) and standard deviationo =41 mg/dl. M = u = 188 milligrams 13.5
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 3.5 minutes and standard deviation of 3.5 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n₁ = 2 customers in the first line and n₂ = 13 customers in the second line. Find the probability that the difference between the mean service time for the shorter line X₁ and the mean service time for the longer one X₂ is more than 0.1 minutes. Assume that the service times for each customer can be regarded as independent random variables. Round your answer to two decimal places (e.g. 98.76). P =
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 1.0 minutes and standard deviation of 4.0 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n1 = 31 customers in the first line and n2 = 48 customers in the second line. Find the probability that the difference between the mean service time for the shorter lineX, and the mean service time for the longer one X2 is more than 0.2 minutes. Assume that the service times for each customer can be regarded as independent random variables. Round your answer to two decimal places (e.g. 98.76). P = i 0.59
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Random variable has a normal distribution w/ mean = 25 & variance = 2.25 Determine the following probabilities: • P (20 < X < 28) • P (X < 27)
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Top quality 15% of the production is good quality, the worst 15% is bad quality, the rest are medium quality It is defined as. It is known that the production shows normal distribution with average and variance of 100. According to this; a) Below which yield level is poor quality valid? b) What yield levels is medium quality in? c) What level of efficiency is good quality called above?

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Random variable X has the distribution k 2 3-k 3 P(X=k) = k kE {0,1,2,3)} 3 3 Determine: (a) the most likely value of the random variable X (b) the median