A dog walker walks 16 dogs on average per month a month is randomly Chosen what is the distribution of x
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 dog walker walks 16 dogs on average per month a month is randomly Chosen what is the distribution of x
Introduction:
Denote X as the random variable of interest here, which represents the number of dogs that the dog walker walks on a randomly chosen month.
It can be assumed that the number of dogs walked on a particular month is independent of the number of dogs walked on a different month.
It is given that X has an average of 16.
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