STAT 270 Final: Lecture15
21 Feb 2019
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14 october 2015: we nished discrete distributions", in the text we have nished chapter 4; it is up to you to read about. Poisson processes: problems from text: 4. 12, 4. 13, 4. 14, 4. 15, 4. 17, 4. 19, 4. 22, midterm friday covers a bit of chapter 3 and all of chapter 4, handwritten slides, key jargon, ideas: Repeat some random experiment a xed number, n, of times. Each time record whether something happens ( success", s) or doesn"t happen ( failure",f). Make sure p, the probability of s, is the same every time. Let x be the number of successes in the n trials. Then x has a binomial(n, p) distribution. If x has a binomial(n, p) distribution: Sometimes we use the shorthand q = 1 p. We can write x = x1 + + xn where the xi are bernoulli random variables.
