lec4.2 - 62 Lecture 6 CHAPTER 2 PROBABILITY Random...

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62 Lecture 6: CHAPTER 2: PROBABILITY Random Variables – Cont’d (Section 2.4, page 88) Recall: Last class we started setting up discrete random variables and we also worked with continuous random variables, let’s continue with both: Example: Two cards are drawn at random from a pack of cards with replacement . Let the random variable X be the number of cards drawn from the heart suit. Construct the probability mass function. Example: Repeat the above example without replacement .
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63 Example: Two fair dice, one red and one blue, are rolled. A score is calculated to be twice the value of the blue die if the red die has an even value, and to be the value of the red die minus the value of the blue die if the red die has an odd value. a) Construct the probability mass function of the score. b) Find the probability of getting a score between 2 and 6 (inclusive). c) Find the probability of getting a score between 2 and 6 (not inclusive).
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Example: A random variable X takes values between 4 and 6 with a probability density function ) 5 . 1 ln( 1 ) ( x x f for 6 4 x and 0 ) ( x f elsewhere. a) Verify this is a valid pdf.
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This note was uploaded on 06/20/2011 for the course STAT 2800 taught by Professor Paula during the Winter '11 term at UOIT.

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lec4.2 - 62 Lecture 6 CHAPTER 2 PROBABILITY Random...

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