STAT151 Lecture Notes - Lecture 19: Confidence Interval, Statistic, Standard Deviation

8 views4 pages

Document Summary

Recall that the sampling distribuion model of is centred at p, with standard deviaion. Since we don"t know p, we can"t ind the true standard deviaion of the sampling distribuion model, so we need to ind the standard error: Note that whenever we esimate the standard deviaion of a sampling distribuion, we will call it a standard error (se) We can look at this from ^p "s point of view. There"s a 95% chance that p is no more than 2 ses away from ^p. So, if we reach out 2 ses, we are 95% sure that p will be in that interval. In other words, if we reach out 2 ses in either direcion of ^p , we can be 95% conident that this interval contains the true proporion. Formally, what we mean is that 95% of samples of this size will produce conidence intervals that capture the true proporion o.

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
Win an iPhone 13
Get a subscription and follow @oneclass.store on TikTok for a chance to win an iPhone 13. Learn more

Related textbook solutions

Related Documents