Assume that women's health are normally distributed with a mean given by 63.6 in. and a standard deviation given by 2.6 in. (a) If 1 woman is randomly selected find the probability that her height is less than 64 in. (b) If 44 women are randomly selected find the probability that their height is less than 64 in. I get all way to geting the number 0.15, but I do not understand how the probability of .5596 is figured from that. can you help me learn how to do it on a TI-83 Plus?
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!
Assume that women's health are
(a) If 1 woman is randomly selected find the probability that her height is less than 64 in.
(b) If 44 women are randomly selected find the probability that their height is less than 64 in.
I get all way to geting the number 0.15, but I do not understand how the probability of .5596 is figured from that. can you help me learn how to do it on a TI-83 Plus?
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