Buses arrive at a bus stop perfectly regularly, every 29 minutes. Every morning, when you arrive at the bus stop, you have no idea when the previous bus left. Therefore, the time you have to wait every morning follows a uniform distribution between 0 and 29 minutes. On a given occasion, what is the probability that you will have to wait between 1 and 21 minutes? (Provide your answer as a number between 0 and 1, rounded to 3 decimal values.
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!
Buses arrive at a bus stop perfectly regularly, every 29 minutes. Every morning, when you arrive at the bus stop, you have no idea when the previous bus left. Therefore, the time you have to wait every morning follows a uniform distribution between 0 and 29 minutes.
On a given occasion, what is the probability that you will have to wait between 1 and 21 minutes?
(Provide your answer as a number between 0 and 1, rounded to 3 decimal values.)
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