Statistical Sciences 1024A/B Lecture Notes - Lecture 23: Central Limit Theorem, Multistage Sampling, Simple Random Sample

36 views3 pages

Document Summary

Con dence interval when x is random distributed o: In repeated sampling from the same population, a percentage c of the con dence intervals calculated contain the true parameter. Of the intervals you calculate, c% of them will contain the true parameter. Margin of error: refers to the error bounds due to random sampling. As z* increases= the margin of error increases. As individual observations become more variable (ie. o increases)= margin of error increases. As sample size n increases= margin of error increases. Need the assumption of a simple random sample or the data can be plausibly thought of as observations taken at random from a population. Data is collected badly with a selection bias of unknown effect (no valid con dence interval) Data is obtained by strati ed or multistage sampling (current formula is invalid but con dence intervals can be obtained that are of a different form) Caution: sample size and distribution of the observations.

Get access

Grade+
$40 USD/m
Billed monthly
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
10 Verified Answers
Class+
$30 USD/m
Billed monthly
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
7 Verified Answers

Related Documents

Related Questions