ing manager of Marina mall records weekly purchases of customers. For last week, the total customer purchase was GHS 2000000. The customer account records at the mall have an average purchase of GHS 48 and variance of GHS 256. Assuming that the purchases are normally distributed: Required: a). what amount of the total purchase is over a customer purchase of GHS 60? b). what amount of the total purchase is between GHS 50 and GHS 80 purchases inclusive per customer? c). What amount of the purc
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 marketing manager of Marina mall records weekly purchases of customers. For last week, the total customer purchase was GHS 2000000. The customer account records at the mall have an average purchase of GHS 48 and variance of GHS 256. Assuming that the purchases are
Required:
a). what amount of the total purchase is over a customer purchase of GHS 60?
b). what amount of the total purchase is between GHS 50 and GHS 80 purchases inclusive per customer?
c). What amount of the purchase is less than GHS 10
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