The weight distribution of parcels sent in a certain manneris normal with mean value 12 lb and standard deviation3.5 lb. The parcel service wishes to establish a weightvalue c beyond which there will be a surcharge. Whatvalue of c is such that 99% of all parcels are at least 1 lbunder the surcharge weight?
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 weight distribution of parcels sent in a certain manner
is normal with
3.5 lb. The parcel service wishes to establish a weight
value c beyond which there will be a surcharge. What
value of c is such that 99% of all parcels are at least 1 lb
under the surcharge weight?
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