Which of the following characteristics must be present in a valid discrete probability distribution? (Select below) The distribution is approximately normal. There are a finite number of possible outcomes that can be individually listed on a table. The sum of the probabilities is less than 1. There are only two possible outcomes: success and failure.
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!
Which of the following characteristics must be present in a valid discrete probability distribution? (Select below)
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