Average work for some employees is 98 hours per year. Use a random sample of 18 employees. The standard deviation is 5.6 hours. Check the claim that it’s less than 100. Check the validity of this claim using 99% accuracy. Assume the variableis normally distributed. Round your final answers to the nearest 2 decimal places. Can you show your work on a dist. graph? Thank you!
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!
Average work for some employees is 98 hours per year. Use a random sample of 18 employees. The standard deviation is 5.6 hours. Check the claim
that it’s less than 100. Check the validity of this claim using 99% accuracy. Assume the variableis
Can you show your work on a dist. graph?
Thank you!
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