Q: What method of testing in PHStat within Excel would I use for this statistical problem? A new production control assistant is hired by Wong's Cookie Factory. He has promised to increase production to a least 17,000 cookies a day. If he does not, he has promised to quit. After 90 days on the job, output has averaged 16,714.3 cookies, with a standard deviation of 8,012 cookies. At the 10 percent significance level, must he now resign as the new assistant in production control?
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!
Q: What method of testing in PHStat within Excel would I use for this statistical problem?
A new production control assistant is hired by Wong's Cookie Factory. He has promised to increase production to a least 17,000 cookies a day. If he does not, he has promised to quit. After 90 days on the job, output has averaged 16,714.3 cookies, with a standard deviation of 8,012 cookies. At the 10 percent significance level, must he now resign as the new assistant in production control?
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