01:960:285 Lecture Notes - Lecture 10: Conditional Probability, Mutual Exclusivity, Empirical Probability

• School: Rutgers University
• Department: Statistics and Biostatistic
• Course: 01:960:285
• Professor: Shyam Moondra

Document Summary

Process which leads to well-defined results call outcomes. The result of a single trial of a probability experiment. Set of all possible outcomes of a probability experiment. One or more outcomes of a probability experiment. Uses the sample space to determine the numerical probability that an event will happen. Events which have the same probability of occurring. All the events in the sample space except the given events. Uses a frequency distribution to determine the numerical probability. Uses probability values based on an educated guess or estimate. Two events which cannot happen at the same time. Two events are independent if the occurrence of one does not affect the probability of the other occurring. Two events are dependent if the first event affects the outcome or occurrence of the second event in a way the probability is changed. The probability of an event occurring given that another event has already occurred.