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

MSIT UNIT 9 – Sampling Distributions & Confidence Intervals for Proportions

by: Katie Mulliken

MSIT UNIT 9 – Sampling Distributions & Confidence Intervals for Proportions MSIT 3000

Marketplace > University of Georgia > Statistics > MSIT 3000 > MSIT UNIT 9 Sampling Distributions Confidence Intervals for Proportions
Katie Mulliken
GPA 3.91
View Full Document for 0 Karma

View Full Document


Unlock These Notes for FREE

Enter your email below and we will instantly email you these Notes for Statistical Analysis for Business

(Limited time offer)

Unlock Notes

Already have a StudySoup account? Login here

Unlock FREE Class Notes

Enter your email below to receive Statistical Analysis for Business notes

Everyone needs better class notes. Enter your email and we will send you notes for this class for free.

Unlock FREE notes

About this Document

MSIT UNIT 9 – Sampling Distributions & Confidence Intervals for Proportions Includes: parameter, stimulations, sampling distribution, standard error, normal modal, independence assumption (10% ...
Statistical Analysis for Business
Megan Lutz
Class Notes
samplingdistribution, confidenceinvervals, confidencelevels, parameter, stimulation, standarderror, normalmodal, independenceassumption, marginoferror




Popular in Statistical Analysis for Business

Popular in Statistics

This 2 page Class Notes was uploaded by Katie Mulliken on Tuesday October 11, 2016. The Class Notes belongs to MSIT 3000 at University of Georgia taught by Megan Lutz in Summer 2015. Since its upload, it has received 3 views. For similar materials see Statistical Analysis for Business in Statistics at University of Georgia.


Reviews for MSIT UNIT 9 – Sampling Distributions & Confidence Intervals for Proportions


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: 10/11/16
MSIT UNIT 9 – Sampling Distributions & Confidence Intervals for Proportions p – true proportion of success  in a pop. is constant; parameter pp  –the sample proportion of  Parameter (fixed)of a population is the proportion of success in a succes(relative frequency) population (we can observe a sample, but probably won’t find the true value of the parameter) n – sample size P np  –expected # successes P (sample statistic) does change & a sampling distribution shows us how nq  –expected # failures Stimulations – helps understand what other samples & instances of p would be p EX: Roll a 6-sided dice 5 times. Let {1,2} be a success & all else be a failure (p = 1/3 ) Find p p(the sample proportion of successes of rolling a dice x5): Say a stimulation & observes the following: P Avg. p pppx. = .3 Range: {0:1} P 0 .2 .4 .6 .8 1.0 True proportion = 1/3 (# of successes) X 0 1 2 3 4 5 Mean (typical valueof pp= p With more repetitions (long-run) the distribution of S: unimodal & roughly symmetric  nearly normal Sampling Distribution – the distribution of a sample statistic Standard Error of a sample statistic is its distribution’s Standard Deviation. Standard Error of p: Sp {p} p SE {p}p = √p(1-p) ÷ n = √pq ÷ n Normal Model is ONLY used under specific sampling assumptions & conditions: 1) Independence Assumption: the trials must be independent of one another a. Randomization Condition: data from an experiment study must have randomly chosen subjects If data via survey, must have used SRS or an unbiased sampling methods b. 10% Condition: if a population is finite (small enough) you shouldn’t sample more than 10% 2) Sample Size Assumption: to use the normal appx., sample size (n) must be satisfyingly large. a. Success / Failure Condition: we need “n” big enough to get at least 10 successes + 10 failures expected in the population: np) & nq are both > 10 Confidence Intervals (CI) We know, based on the sampling distribution of S, that the long-run avg. of p = p p (the true proportion) We want to know, based on our current sample if p = p…. p Note: P(p =pp) = 0 Confidence Interval – a range of volume, or an interval of #s, calculated from sample data that can be used to estimate a population proportion. Confidence Level – a value chosen to represent the confidence in our statistical method (not in our data) CI = pp̂ + z*√pp̂ qp̂ ÷n pp+ ( Critical Value x Standard Error ) OR pp+ Margin of Error A higher Margin of Error arises when: More confidence in an interval = Bigger z* = Smaller “n” is = Bigger size = More narrow/ precise


Buy Material

Are you sure you want to buy this material for

0 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

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."

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!"

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.