SOCSCI 2J03 Lecture Notes - Lecture 8: Sample Space, Conditional Probability, Microsoft Powerpoint

• School: McMaster University
• Department: Social Sciences
• Course: SOCSCI 2J03
• Professor: Rizwan Tahir

Document Summary

Socsci2j03 lecture 7 chapter 4: probability, basic concepts, conditional probability, counting rules. Sample space: all outcomes collected and organized visually. Sample points: elements or features of the sample space. A tree diagram is another way to display probability. Each outcome is represented as an idea that branches off of the root of a tree. Dependent upon how many times the experiment is conducted/repeated. Simple event: collecting one outcome of an experiment (only one final outcome) Compound event: collecting the outcomes of more than one outcome (one event = multiple outcomes) Randomly selecting two workers from a company observing gender (male or female) of selected workers displaying outcomes. A = grouping of genders at one work company. Probability: measuring the likelihood of an outcome or an event to occur, using numerical methods to predict and solidify an answer. Probability lies between 0 and 1: second property. The sum of all simple events/final outcomes is 1: conceptual approaches, classical.