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

Intro Stat Weekly Notes 7

by: Qihua Wu

Intro Stat Weekly Notes 7 TMATH 110 C

Marketplace > University of Washington Tacoma > Math > TMATH 110 C > Intro Stat Weekly Notes 7
Qihua Wu
University of Washington Tacoma
Intro Stat Applications

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

This week continues from last week's central limit theory and finding the probability for the range of mean.
Intro Stat Applications
Class Notes
25 ?




Popular in Intro Stat Applications

Popular in Math

This 0 page Class Notes was uploaded by Qihua Wu on Sunday November 15, 2015. The Class Notes belongs to TMATH 110 C at University of Washington Tacoma taught by KENNEDY,MAUREEN C. in Fall 2015. Since its upload, it has received 24 views. For similar materials see Intro Stat Applications in Math at University of Washington Tacoma.

Similar to TMATH 110 C at University of Washington Tacoma


Reviews for Intro Stat Weekly Notes 7


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: 11/15/15
Central Limit Theory As sample size increases the sample size mean approaches the population mean Works for normal distributions or for sample size greater than 30 Given a sample size population mean and standard deviation of x and trying to use central limit theory to nd the probability for that certain sample size to have a certain range of mean 1 Find the standard deviation of the sample mean standard error Standard error standard deviation of xsample sizequot5 2 Use the standard error to nd the probability similar with nding the probability for the range of x Given value mean standard error zscore on the table For clari cation of how to use zscore or how to nd range for both table see weekly note 6 Estimation estimating population parameters with sample data Hypothesis testing testing hypothesis about population parameters with sample data Estimator the estimation of unknown population parameter Point estimate estimate population parameter with one value but since it is only a single value it would have errors due to sampling variabilities Point estimate of population mean Sample mean estimation of population mean Sum of all x values sample size Point estimate of population variance Sample varianceestimation of population variance sum of x meanquot2 sample size1 Point estimate of population proportion Estimated population proportion frequency sample size Point estimates of population parameters are only useful when they are unbiased since statisticians need to avoid biases at all cost An unbiased estimator is one that approaches to the value of the population parameter Unbiased estimators Sample mean sample variance sample proportion Biased estimators Sample median sample range sample standard deviation Sample range and sample standard deviation tend to underestimate the population parameter Notice how sample variance is not biased to make sample standard deviation unbiased we can just square it to make it become va ance


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."

Janice Dongeun University of Washington

"I used the money I made selling my notes & study guides to pay for spring break in Olympia, Washington...which was Sweet!"

Bentley McCaw University of Florida

"I was shooting for a perfect 4.0 GPA this semester. Having StudySoup as a study aid was critical to helping me achieve my goal...and I nailed it!"


"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.