Suppose a player's true batting average is Normal, with mu = .275, and standard deviation, sigma = 0.02. What is the probability that this player will have a batting average GREATER THAN 0.300 on the basis of luck alone?
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Suppose a player's true batting average is Normal, with mu = .275, and standard deviation, sigma = 0.02. What is the probability that this player will have a batting average GREATER THAN 0.300 on the basis of luck alone?
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- Suppose a player's true batting average is Normal, with mu = .272, and standard deviation, sigma = 0.02. What is the probability that this player will have a batting average LESS THAN 0.250 on the basis of luck alone?The score obtained on an emotional intelligence test is normally distributed,with an average score (μ) of 112 and a standard deviation (σ) of 8.5. What is the probability that a randomly selected person will:Q.6.3.1 Obtain a score between 111 and 116? Interpret your answer. Q.6.3.2 Obtain a score between 107 and 110? Interpret your answer.Anticipated consumer demand in a restaurant for free-range steaks next month can be modeled by a normal random variable with mean 1,200 pounds and standard deviation 100 pounds. a. What is the probability that demand will be between 1,100 and 1,300 pounds? Calculate in 4 decimal place. b. The probability is 0.10 that demand will be more than how many pounds?
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- An operation manager at an electronics company wants to test their amplifiers. The design engineer claims they have a mean output of 364 watts with a standard deviation of 12 watts. What is the probability that the mean amplifier output would be greater than 364.8 watts in a sample of 52 amplifiers if the claim is true? Round your answer to four decimal places.Home prices in a particular neighborhood average $350k with a standard deviation of $30k. They are not Normally distributed. Your realtor pulls a random sample of 30 houses for you to look at. What is the probability that the average price of these 30 houses is more than $345k? (Please round your answer to 3 decimal places: ex, 0.123)Half of a set of the parts are manufactured by machine A and half by machine B. Five percent of all the parts are defective. Five percent of the parts manufactured on machine A are defective. Find the probability that a part was manufactured on machine A, given that the part is defective.