The average THC content of marijuana sold on the street is 9.4%. Suppose the THC content is normally distributed with standard deviation of 1%. Let X be the THC content for a randomly selected bag of marijuana that is sold on the street. a. What is the distribution of X? X ~ N(,) b. Find the probability that a randomly selected bag of marijuana sold on the street will have a THC content greater than 10.2. Round answer to 3 decimal places
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!
The average THC content of marijuana sold on the street is 9.4%. Suppose the THC content is
a. What is the distribution of X? X ~ N(,)
b. Find the probability that a randomly selected bag of marijuana sold on the street will have a THC content greater than 10.2. Round answer to 3 decimal places
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