1. Mindy is taking MA 385 this summer and two sections are offered. She estimates that if she takes Dr. J, her chance of passing the course is 80%, but if she takes Dr. S, her chance of passing the course is only 60%. There is a 40% chance she will get in Dr. J's class, otherwise she will be placed in Dr. S's class. After the summer is over, you learn that Mindy passed MA 385. What is the probability that she was enrolled in Dr. J's section?
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!
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