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Business and Management IKEA is a Swedish company that sells ready-to-assemble furniture. Shoppers contact customer service with regard to finding a nearby store, online shipping questions, and even for help with assembly. IKEA classifies all telephone calls to its customer support staff by the amount of time the customer is on hold. If the customer is on hold for no more than 60 seconds, then the call is classified as successful (actually, this sounds like a miracle). The supervisor in technical support claims 80% of all calls are successful. Suppose 25 calls to technical support are selected at random.a. Find the mean, variance, and standard deviation of the number of successful calls.b. Find the probability that at least 18 calls will be successful.c. Suppose 21 calls are successful. Is there any evidence to suggest the supervisor's claim is false? Justify your answer.
Among 12 adults randomly selected from this area, only 3 reported that their health was excellent. Find the probability that when 12 adults are randomly selected, 3 or fewer are in excellent health.
use n 6 and p 0.2 to complete parts a through c.a find the probabilities and construct a binomial probability
A mammal is a vertebrate animal that nurses its offspring. Thus, cats and dogs are mammals, as are sheep, monkeys, rabbits, and bears.
Examine the two standard deviations. What do these indicate about the range of benefits enjoyed by the two groups?
What is the probability that the person must wait for a table for at most 20 minutes? b. What is the probability that the person must wait for a table for over
describe the major differences between the following two distributions.a. a population of scores with mu 50 and sigma
Construct a perfect one-factorization of K_2n for infinitely many values of n. Prove the factorizations are perfect
Assume the body temperatures of healthy adults are normally distributed with a mean of 98.20°F and a standard deviation of 0.62°F (based on data from the University of Maryland researchers).
Do you believe that the variance of sales before announcement of increasing price is equal to variance of sales after announcement?
If an executive submits an expense of $720 for a one-day stay in Moscow, should this expense be considered unusually high? Why or why not?
At the .01 significance level, is there a difference in the use of the four entrances?
In a certain population, the probability a woman lives to at least seventy years is 0.70 and is 0.55 that she will live to at least eighty years.
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