A call center data set shows that in a sample of 60 individuals, 19 had prior call center experience. If we assume potential hires, more than half of them will have experience? Define the parameter(s) for this distribution based on the data. Define the parameters for this distribution based on the data. Define a success as a new hire having experience. When defining the number of successes, consider what value is necessary if one is going to find the area to the left of that value. Select the correct choice below and fill in the answer box(es) to complete your choice. O A. This distribution is a binomial distribution with parameters n = and p = (Simplify your answers.) O B. This distribution is a Poisson distribution with parameter A = (Simplify your answer.) O C. This distribution is a Bernoulli distribution with parameter p = (Simplify your answer.)
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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