The mean of a normal probability distribution is 476.the standard deviation is 12 a) what is the probability between 455 and 478? b)what is the probability between 480 and 490? c) what its probability when the value is less than 500) d)what is the probability between 500 and 510? e)what is the probability when the value is more than 476? apply formulas
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 mean of a
a) what is the probability between 455 and 478?
b)what is the probability between 480 and 490?
c) what its probability when the value is less than 500)
d)what is the probability between 500 and 510?
e)what is the probability when the value is more than 476?
apply formulas
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