High temperature in a certain city for the month of August follow a uniform distribution over the interval 63 degrees ferenheit to 90 degrees ferenheit. What is the probability that a randomly selected August day has high temperature that exceeded 68 degrees feranheit? It is 80 degrees feranheit, there is a 15% probability tha the temperature will go higher by how many degrees farenheit?
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!
High temperature in a certain city for the month of August follow a uniform distribution over the interval 63 degrees ferenheit to 90 degrees ferenheit. What is the probability that a randomly selected August day has high temperature that exceeded 68 degrees feranheit?
It is 80 degrees feranheit, there is a 15% probability tha the temperature will go higher by how many degrees farenheit?
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