nus of $500 to the 10% of employees who took the shortest amount of time to package the components. They will also give a bonus of $250 to the next 20% of employees who finish after the top 10% . Find the amount of time taken to package the components that will indicate that an employee should get a bonus of $250.
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!
The time it takes an employee to package the components of a certain product is
Find the amount of time taken to package the components that will indicate that an employee should get a bonus of $250.
Consider X be the random variable that represents the time it takes an employee to package the components of a certain product.
Suppose "a" be the time taken to package the components that will indicate that an employee should get a bonus of $250. This means percentage of employees that takes time greater than "a" minutes is 30%(10%+ 20%).
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