At a store, customers are randomly selected to participate In a survey. On Friday, there were 500 customers at the store. Of those, 90 were selected to particlpate In the survey. On Saturday, the store manager expects 700 customers In the store. If the probablity of being selected to participate In the survey on Saturday Is the same as It was on Friday, how many customers wil be selected to participate In the survey on Saturday? Show your work.
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!
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