need with bell shape curve that shows are shaded and weve been doing the square root and sample distribution with them
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!
need with bell shape curve that shows are shaded and weve been doing the square root and sample distribution with them
Let X denote the Glucose level
Then X~N(122, 122)
According to the given information, further testing is needed if the glucose level is greater than 130.
Part 1: Required probability is
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