A hat contains 54 Green slips of paper and 18 Grey slips of paper (and nothing else). Two slips are selected at random from the hat. The selection is made with replacement (the first slip is put back into the hat before drawing the second slip). The probability that both slips are the same color (both Green or both Grey) is
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!
A hat contains 54 Green slips of paper and 18 Grey slips of paper (and nothing else). Two slips are selected at random from the hat. The selection is made with replacement (the first slip is put back into the hat before drawing the second slip).
The probability that both slips are the same color (both Green or both Grey) is
Number of green slips = 54
Number of grey slips = 18
Total number of slips = 54+18 = 72
The probabilities of selecting green and grey slips are:
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