Continuous Random Variables Lecture 25 Section Mon, Feb 28, 2005

Continuous Probability Distribution Functions Continuous Probability Distribution Function (pdf) – For a random variable X, it is a function with the property that the area between the graph of the function and an interval a ≤ x ≤ b equals the probability that a ≤ X ≤ b. Continuous Probability Distribution Function (pdf) – For a random variable X, it is a function with the property that the area between the graph of the function and an interval a ≤ x ≤ b equals the probability that a ≤ X ≤ b. In other words, In other words, AREA = PROBABILITY

Example The TI-83 will return a random number between 0 and 1 if we enter rand and press ENTER. The TI-83 will return a random number between 0 and 1 if we enter rand and press ENTER. These numbers have a uniform distribution from 0 to 1. These numbers have a uniform distribution from 0 to 1. Let X be the random number returned by the TI-83. Let X be the random number returned by the TI-83.

Example The graph of the pdf of X. The graph of the pdf of X. x f(x)f(x) 01 1

Example What is the probability that the random number is at least 0.3? What is the probability that the random number is at least 0.3?

Example x f(x)f(x)

Example What is the probability that the random number is at least 0.3? What is the probability that the random number is at least 0.3? x f(x)f(x)

Example What is the probability that the random number is at least 0.3? What is the probability that the random number is at least 0.3? x f(x)f(x)

Area = 0.7 Example What is the probability that the random number is at least 0.3? What is the probability that the random number is at least 0.3? Probability = 70%. Probability = 70%. x f(x)f(x)

Example What is the probability that the random number is between 0.3 and 0.9? What is the probability that the random number is between 0.3 and 0.9? x f(x)f(x)

Example What is the probability that the random number is between 0.3 and 0.9? What is the probability that the random number is between 0.3 and 0.9? x f(x)f(x)

Example What is the probability that the random number is between 0.3 and 0.9? What is the probability that the random number is between 0.3 and 0.9? x f(x)f(x)

Area = 0.6 Example What is the probability that the random number is between 0.3 and 0.9? What is the probability that the random number is between 0.3 and 0.9? Probability = 60%. Probability = 60%. x f(x)f(x)

Experiment Use the TI-83 to generate 500 values of X. Use the TI-83 to generate 500 values of X. Use rand(500) to do this. Use rand(500) to do this. Check to see what proportion of them are between 0.3 and 0.9. Check to see what proportion of them are between 0.3 and 0.9. Use a TI-83 histogram and Trace to do this. Use a TI-83 histogram and Trace to do this.

Example Now suppose we use the TI-83 to get two random numbers from 0 to 1, and then add them together. Now suppose we use the TI-83 to get two random numbers from 0 to 1, and then add them together. Let Y = the sum of the two random numbers. Let Y = the sum of the two random numbers. What is the pdf of Y? What is the pdf of Y?

Example The graph of the pdf of Y. The graph of the pdf of Y. y f(y)f(y) 012 1

Example y f(y)f(y) Area = 1

Example What is the probability that Y is between 0.5 and 1.5? What is the probability that Y is between 0.5 and 1.5? y f(y)f(y)

Example What is the probability that Y is between 0.5 and 1.5? What is the probability that Y is between 0.5 and 1.5? y f(y)f(y)

Example The probability equals the area under the graph from 0.5 to 1.5. The probability equals the area under the graph from 0.5 to 1.5. y f(y)f(y)

Example Cut it into two simple shapes, with areas 0.25 and 0.5. Cut it into two simple shapes, with areas 0.25 and 0.5. y f(y)f(y) Area = 0.5 Area =

Example The total area is The total area is The probability is 75%. The probability is 75%. y f(y)f(y) Area = 0.75

Verification Use the TI-83 to generate 500 values of Y. Use the TI-83 to generate 500 values of Y. Use rand(500) + rand(500). Use rand(500) + rand(500). Use a histogram to find out how many are between 0.5 and 1.5. Use a histogram to find out how many are between 0.5 and 1.5.

Example Suppose we get 12 random numbers, uniformly distributed between 0 and 1, from the TI-83 and add them all up. Suppose we get 12 random numbers, uniformly distributed between 0 and 1, from the TI-83 and add them all up. Let X = sum of 12 random numbers from 0 to 1. Let X = sum of 12 random numbers from 0 to 1. What is the pdf of X? What is the pdf of X?

Example It turns out that the pdf of X is approximately normal with a mean of 6 and a standard of 1. It turns out that the pdf of X is approximately normal with a mean of 6 and a standard of 1. x N(6, 1)

Example What is the probability that the sum will be between 5 and 7? What is the probability that the sum will be between 5 and 7? P(5 < X < 7) = P(–1 < Z < 1) P(5 < X < 7) = P(–1 < Z < 1) = – =

Example What is the probability that the sum will be between 4 and 8? What is the probability that the sum will be between 4 and 8? P(4 < X < 8) = P(–2 < Z < 2) P(4 < X < 8) = P(–2 < Z < 2) = – =

Experiment Use the Excel spreadsheet Uniform12.xls to generate 1000 values of X, where X is the sum of 12 random numbers from U(0, 1). Use the Excel spreadsheet Uniform12.xls to generate 1000 values of X, where X is the sum of 12 random numbers from U(0, 1).Uniform12.xls We should see a value between 5 and 7 about 68% of the time. We should see a value between 5 and 7 about 68% of the time. We should see a value between 4 and 8 about 95% of the time. We should see a value between 4 and 8 about 95% of the time. We should see a value between 3 and 9 nearly always (99.7%). We should see a value between 3 and 9 nearly always (99.7%).