STAT 119 Chapter Notes - Chapter 5–7: Bayes Estimator, Standard Deviation, Geometric Probability

29 views6 pages
4 Mar 2018
School
Department
Course
Professor

Document Summary

We can hope to understand characteristics of their long-run behavior. For any random phenomenon, each attempt (trial) generates an outcome. Event - refer to outcomes or combinations of outcomes. Sample space - collection of all possible outcomes. Independence - outcome of one trial doesn"t influence or change the outcome of another. If the vents are independent, then as the number of trials increases, the long-run relative frequency of any outcome gets closer and closer to a single value. Probability of that event - value that they approach. Empirical probability - based on repeatedly observing the event"s outcome. Relative frequency of an event"s occurrence as the probability of an event. Model-based (theoretical) probability) (theoretical) probability - equally like outcomes. P(a) = # of outcomes in a / total # of outcomes possible. Count all the outcomes in the event divided by the total number of possible outcomes. Number of outcomes in the event divided by the total number of outcomes.

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 textbook solutions

Related Documents