in new yorkl cxity college , the weight of male atheletes follow a normal distributin owith with st deviation = 35 lbs and mean =175 lbs for the female atheletes the mean = 140 lbs and st deviation = 30 lbs find the prob that wt of female athelete is more than the male athlete
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!
in new yorkl cxity college , the weight of male atheletes follow a normal distributin owith with st deviation = 35 lbs and
for the female atheletes the mean = 140 lbs and st deviation = 30 lbs
find the prob that wt of female athelete is more than the male athlete
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