STAB22H3 Lecture Notes - Lecture 9: Standard Deviation, Continuity Correction, Simple Random Sample

• School: UTSC
• Department: Statistics
• Course: STAB22H3
• Professor: Mahinda Samarakoon

Document Summary

I a random variable (r. v. ) is a variable that takes an outcome from a random experiment and gives it a numerical value. I example: consider the experiment of tossing a coin. We can de ne a random variable x as follows: 0, if a h comes up; if a t comes up. x ~b( k ) I this is an example of a bernoulli random variable, i. e. a random variable which takes the value 1 with probability p and the value 0 with probability q = 1 p. l withproba. b. it. I each value of a random variable is an event, so each value has a probability of being obtained. The list of values and probabilities is called probability distribution or probability model. I example: probability distribution of a bernoulli random variable x : Probability where p + q = 1 (or p = 1 q).