New User Special Price Expires in

Let's log you in.

Sign in with Facebook


Don't have a StudySoup account? Create one here!


Create a StudySoup account

Be part of our community, it's free to join!

Sign up with Facebook


Create your account
By creating an account you agree to StudySoup's terms and conditions and privacy policy

Already have a StudySoup account? Login here

Chapter 23 Notes

by: Katie Catipon

Chapter 23 Notes STAT 1350 Intro to Stats

Katie Catipon
GPA 3.658
Intro to Stats
Alice Miller

Almost Ready


These notes were just uploaded, and will be ready to view shortly.

Purchase these notes here, or revisit this page.

Either way, we'll remind you when they're ready :)

Preview These Notes for FREE

Get a free preview of these Notes, just enter your email below.

Unlock Preview
Unlock Preview

Preview these materials now for free

Why put in your email? Get access to more of this material and other relevant free materials for your school

View Preview

About this Document

Chapter 23 notes from textbook
Intro to Stats
Alice Miller
Class Notes
25 ?




Popular in Intro to Stats

Popular in Statistics

This 2 page Class Notes was uploaded by Katie Catipon on Tuesday April 14, 2015. The Class Notes belongs to STAT 1350 Intro to Stats at Ohio State University taught by Alice Miller in Spring2015. Since its upload, it has received 115 views. For similar materials see Intro to Stats in Statistics at Ohio State University.

Similar to STAT 1350 Intro to Stats at OSU

Popular in Statistics


Reviews for Chapter 23 Notes


Report this Material


What is Karma?


Karma is the currency of StudySoup.

You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

Date Created: 04/14/15
Chapter 23 Use and Abuse of Statistical Inference Two major types of statistical inference con dence intervals and signi cance tests To use inference wisely understand the data and the questions you want to answer and t the method to its setting For con dence intervals and signi cance tests for a population proportion p Data must be an SRS from the population of interest These methods aren t correct for sample designs more complex than an SRS Population size is much larger than sample size Sample size is reasonably large so than sample distribution of the sample proportion p hat is close to Normal Note Con dence intervals and tests ignore sources of error such as dropouts and nonresponse Con dence levels Con dence interval estimates the unknown value of a parameter and also tells us how uncertain that estimate is All con dence levels say how often the method catches the true parameter when sampling many times This is not the same as saying whether this speci c data set gives us an interval that contains the true value of the parameter Trade off between con dence level and size of interval 99 con dence level will provide a larger interval than a 95 con dence level Larger sample narrower interval Length of con dence level for p goes down in proportion to the square root of the sample size the cut an interval in half sample size must be increased 4x Con dence intervals are more informative than signi cance test because they estimate a population parameter and are easier to interpret It is good practice to give them whenever possible Statistical signi cance Signi cance tests help us weigh the evidence that the data yields in support of what we were looking for To do this we ask what would happen if the claim was nottrue null hypothesis Signi cance test answers the null hypothesis by giving the Pvalue tells us how unlikely data as or more extreme than ours would be if the null hypothesis were true Very unlikely data is strong evidence that the null hypothesis is incorrect Although we usually don t know if the hypothesis is true for this speci c population Resulting statement example quotData as or more extreme than these would occur only 5 of the time if the hypothesis were truequot This is less straightforward than a con dence interval Larger samples make signi cance test more sensitive Smaller samples make them less sensitive Small effects will often be hidden behind the chance variation in a sample Test measures only the strength of the evidence against the null hypothesis It says nothing about how big or important the effect we seek in the population really is A nding can be statistically signi cance without being practically important Lack of signi cance does not mean that there is no effect only that we do not have food evidence for that effect Small samples often miss important effects that are really present in the population Pvalue of a signi cance test depends strongly on sample size and truth of the population It is bad practice to report a naked Pvalue one by itself wout also giving the sample size and a statistics that describes the sample outcome There is no sharp border between signi cant and insigni cant only increasingly strong evidence as the Pvalue decreases


Buy Material

Are you sure you want to buy this material for

25 Karma

Buy Material

BOOM! Enjoy Your Free Notes!

We've added these Notes to your profile, click here to view them now.


You're already Subscribed!

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

Why people love StudySoup

Steve Martinelli UC Los Angeles

"There's no way I would have passed my Organic Chemistry class this semester without the notes and study guides I got from StudySoup."

Allison Fischer University of Alabama

"I signed up to be an Elite Notetaker with 2 of my sorority sisters this semester. We just posted our notes weekly and were each making over $600 per month. I LOVE StudySoup!"

Jim McGreen Ohio University

"Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."


"Their 'Elite Notetakers' are making over $1,200/month in sales by creating high quality content that helps their classmates in a time of need."

Become an Elite Notetaker and start selling your notes online!

Refund Policy


All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email


StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here:

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to

Satisfaction Guarantee: If you’re not satisfied with your subscription, you can contact us for further help. Contact must be made within 3 business days of your subscription purchase and your refund request will be subject for review.

Please Note: Refunds can never be provided more than 30 days after the initial purchase date regardless of your activity on the site.