As a part of the productivity assessment at a company, the HR manager carried out a survey and found that inclusive of overtime, the amount of time spent at work per week follows a normal distribution with µ=35 hours andσ 2 = 4 hours Calculate the probability that an employee selected at random will work less than 40 hours Calculate the probability that an employee selected at random will work between 35and 45 hours.
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!
As a part of the productivity assessment at a company, the HR manager carried out a survey and
found that inclusive of overtime, the amount of time spent at work per week follows a
distribution
Calculate the probability that an employee selected at random will work less than 40 hours
Calculate the probability that an employee selected at random will work between 35and 45 hours.
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