Fifteen percent of U.S. employees who are late for work blame oversleeping. You randomly select four U.S. employees who are late for work and ask them whether they blame oversleeping. Therandom variable represents the number of U.S. employees who are late for work and blame oversleeping.Find the mean of the binomial distribution.HFind the variance of the binomial distribution.6²=(Round to the nearest hundredth as needed.)=(Round to the nearest hundredth as needed.)Find the standard deviation of the binomial distribution.σ=...(Round to the nearest hundredth as needed.)Interpret the results in the context of the real-life situation.In most samples of four adults are late for work, the average number of adults that blame oversleeping would differ from the mean by no more than(Type an integer or decimal rounded to the nearest hundredth as needed.)

Suppose a random variable X, defines that the number of U.S. employees who are late for work and…

Fifteen percent of U.S. employees who are late for work blame oversleeping. You randomly select four U.S. employees who are late for work and ask them whether they blame oversleeping. The random variable represents the number of U.S. employees who are late for work and blame oversleeping. Find the mean of the binomial distribution. μ= (Round to the nearest hundredth as needed.) Find the variance of the binomial distribution. 6² = (Round to the nearest hundredth as needed.) Find the standard deviation of the binomial distribution. (Round to the nearest hundredth as needed.) Interpret the results in the context of the real-life situation. 6= ( In most samples of four adults are late for work, the average number of adults that blame oversleeping would differ from the mean by no more than (Type an integer or decimal rounded to the nearest hundredth as needed.)

Fifteen percent of U.S. employees who are late for work blame oversleeping. You randomly select four U.S. employees who are late for work and ask them whether they blame oversleeping. The random variable represents the number of U.S. employees who are late for work and blame oversleeping. Find the mean of the binomial distribution. μ= (Round to the nearest hundredth as needed.) Find the variance of the binomial distribution. 6² = (Round to the nearest hundredth as needed.) Find the standard deviation of the binomial distribution. (Round to the nearest hundredth as needed.) Interpret the results in the context of the real-life situation. 6= ( In most samples of four adults are late for work, the average number of adults that blame oversleeping would differ from the mean by no more than (Type an integer or decimal rounded to the nearest hundredth as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 22PFA

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