Random Variables and Stochastic Processes – 0903720 Dr. Ghazi Al Sukkar Office Hours: will be.

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Presentation transcript:

Random Variables and Stochastic Processes – Dr. Ghazi Al Sukkar Office Hours: will be posted soon Course Website: 1 Most of the material in these slide are based on slides prepared by Dr. Huseyin Bilgekul /

Cumulative Distribution Function (CDF) 2

3

Properties of CDF 4

5

Discrete-Type RV 6

Continuous-Type RV 7

Mixed RV. 8

Percentiles 9

Example The distribution function of a random variable X is given by Compute the following quantities : (a) P(X < 2) (b) P(X = 2) (c) P(1  X < 3) (d) P(X > 3/2) (e) P(X = 5/2) (f) P(2<X  7) 10

Example For the experiment of flipping a fair coin twice, let X be the number of tails and calculate F(t), the distribution function of X, and then sketch its graph. Sol : 11

Example Suppose that a bus arrives at a station every day between 10:00 Am and 10:30 AM, at random. Let X be the arrival time; find the distribution function of X, F(t), and then sketch its graph. Sol : 12

Example The sales of a convenience store on a randomly selected day are X thousand dollars, where X is a random variable with a distribution function of the following form : Suppose that this convenience store’s total sales on any given day are less than $2000. (a)Find the value of k. (b)Let A and B be the events that tomorrow the store’s total sales are between 500 and 1500 dollars, and over 1000 dollars, respectively. Find P(A) and P(B). (c)Are A and B independent events? 13

Probability Density Function (pdf) 14

15

16

Pdf for Discrete Random Variables 17

Example In the experiment of rolling a balanced die twice, let X be the maximum of the two numbers obtained. Determine and sketch the probability mass function and the distribution function of X. Sol : 18

Example Can a function of the form be a probability mass function ? Sol : 19

Example Let X be the number of births in a hospital until the first girl born. Determine the probability mass function and the distribution function of X. Assume that the probability is 1/2 that a baby born is a girl. Sol : 20