Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.08. Suppose that, on a given day, 18 online retail orders are placed, Assume that the number of online retail ordersthat turn out to be fraudulent is distributed as a binomial random variable. Complete parts (a) through (d) below.a. What are the mean and standard deviation of the number of online retail orders that tun out to be fraudulent?The mean number of online retail orders that turn out to be fraudulent is(Type an integer or a decimal. Round to four decimal places as needed.)The standard deviation of the number of fraudulent retail orders is.(Type an integer or a decimal. Round to three decimal places as needed.)b. What is the probability that zero online retail orders will turn out to be fraudulent?(Type an integer or a decimal. Round to four decimal places as needed.)c. What is the probability that one online retail order will turn out to be fraudulent?(Type an integer or a decimal. Round to four decimal places as needed.)d. What is the probability that two or more online retail orders will turn out to be fraudulent?DISCONNECTED SERVICE WILL BE RESTORED ON THE FOLLOVRECEIVED BEFORE 5:00 P.M.View instructor tipCall 1-866-942-6729 for credit card payments. Please allow two (2) cprocessing time for all credit card payments made through the IVR sPlease make payment two days prior to the cutoff date on delinqueravoid a disconnect order.P Type here to searchOnline Payments can be made at www.columbiasc.net.Financial assistance for water bills is available to qualifying customthrough City and County programs. For more information, visitwww.columbiascwater.net, Click on My Account, then click Billing10米escbackspacehom&7.23248.6.

Let X be the random variable from binomial distribution with probability (p) = 0.08 and sample size…

Answered: Past records indicate that the…

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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Eighty-three percent of adults in a certain country believe that life on other planets is plausible. You randomly select five adults and ask them whether they believe that life on other planets is plausible. The random variable represents the number of adults who believe that life on other planets is plausible. Find the mean, variance, and standard deviation of the binomial distribution for the random variable. Interpret the results find the mean, variance, and standard deviation
61% percent of adults in a certain country believe that life on other planets is plausible. You randomly select 5 adults and ask them whether they believe that life on other planets is plausible. The random variable represents the number of adults who believe that life on other planets is plausible. Find the mean, variance, and standard deviation of the binomial distribution for the random variable, then interpret the results. The mean= 3.85The variance= 0.89 The standard deviation= 0.94 On average, _________ out of every 5 adults in the country believe that life on other planets is plausible. In most samples of 5 adults, the number of adults who think life on other planets is plausible would differ from the mean by no more than _________.
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.07. Suppose that, on a given day, 18 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. Complete parts (a) through (d) below. a. What are the mean and standard deviation of the number of online retail orders that turn out to be fraudulent? The mean number of online retail orders that turn out to be fraudulent is (Type an integer or a decimal. Round to four decimal places as needed,) Instructor tip The standard deviation of the number of fraudulent retail orders is. (Type an integer or a decimal. Round to three decimal places as needed.) Use BINOM.DIST function in Excel to find binomial probabilities. Use the formulas for the mean and the SD. See my Excel tutorials for b. What is the probability that zero online retail orders will turn out to be fraudulent? more information. (Type…
Service time for a customer coming through a checkout counter in a retail store is a random variable with the mean of 4.0 minutes and standard deviation of 2.0 minutes. Suppose that the distribution of service time is fairly close to a normal distribution. Suppose there are two counters in a store, n₁ = 46 customers in the first line and n₂ = 52 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 0.3 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 = !
Last year, a person wrote 118 checks. Let the random variable x represent the number of checks he wrote in one day, and assume that it has a Poisson distribution. What is the mean number of checks written per day? What is the standard deviation? What is the variance?
According to one study, the amount of time a customer spends shopping in a grocery store is normally distributed with a mean of 45 minutes and a standard deviation of 12 minutes. Choose one: The amount of time a customer spends shopping is a discrete random variable. The amount of time a customer spends shopping is a continuous random variable.
Assume that your aunt wrote 139 letters to her family members in 2019. Let the random variable x represent the number of these letters that she wrote on a given day. Assume also that this scenario has a Poisson distribution. What is the mean number of letters written per day? Round to 3 decimal places. What is the standard deviation? Round to 3 decimal places.
One year consumers spent an average of $22 on a meal at a resturant. Assume that the amount spent on a resturant meal is normally distributed and that the standard deviation is $3.Complete parts (a) through (c) below. a. What is the probability that a randomly selected person spent more than $24?
Last year, a person wrote 116 checks. Let the random variable x represent the number of checks he wrote in one day, and assume that it has a Poisson distribution. What is the mean number of checks written per day? What is the standard deviation? What is the variance?

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