Geography 2210A/B Lecture Notes - Lecture 10: Sample Space, Statistical Inference

86 views3 pages

Document Summary

Elementary probability theory: foundation for statistical inference > process whereby information from a sample dataset is used to estimate characteristics of larger populations. Basic concepts rest on statistical experiment (or random trial) Statistical experiment: definition process in which one outcome from a set of possible outcomes occurs, which outcome occurs is not known before experiment takes place, example > six-sided die. Elementary outcomes & sample space: each outcome of an experiment is known as an elementary outcome, set of all elementary outcomes is the sample space, example 1: six-sided dice. Each of six sides is an elementary outcome. The six outcomes comprise the sample space: example 2: toss of two coins. Event: subset of the sample space of an experiment > collection of elementary outcomes, defined prior to experiment, example: playing cards. Event a drawing a diamond (13 outcomes) Event b drawing an ace (4 outcomes) Event c drawing the ace of diamonds (1 outcome)

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related Documents