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

Exam 3 Study Guide

by: Kara Lyles

Exam 3 Study Guide STAT 110 - 002

Kara Lyles

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

Exam 3 study guide
Introduction to Statistical Reasoning
Gail Ward-Besser (P)
Study Guide
stat, 110
50 ?




Popular in Introduction to Statistical Reasoning

Popular in Statistics

This 3 page Study Guide was uploaded by Kara Lyles on Saturday April 16, 2016. The Study Guide belongs to STAT 110 - 002 at University of South Carolina taught by Gail Ward-Besser (P) in Spring 2016. Since its upload, it has received 100 views. For similar materials see Introduction to Statistical Reasoning in Statistics at University of South Carolina.


Reviews for Exam 3 Study Guide


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: 04/16/16
Study Guide A random outcome is not predictable in the short run but begins form a regular predictable pattern in the long run Types of probabilities Empirical Probability: Experimental “you have to do something” Theoretical: Based on set theories Personal: Based on personal judgement “you believe it “ Null hypothesis  Assume null hypothesis is true until you find evidence to reject  Status quo, no change , =  Mean of normal distribution Alternative hypothesis  Tells us what probability we are calculating under the curve  Uses signs <, >, =  Experimental hypothesis *P value is the evidence that we have against Ho * If p is less than the level of significance you can reject Ho and find favor in Ha * If p is greater than the level of significance then you can fail to reject Ho and not find favor in Ha Probability Rules  Probability needs to be between 0 and 1  Probabilities must total to 1  Outcome must occur every trial  Egain = expected value=a1*p1+a2*p2+a3*p3 ….. Compliment = 1 – probability of event *Complement think opposite  IF asked for an intersection (AND) you multiply  IF asked for a union (OR) you add  Independent probabilities occurs when one event doesn’t affect the other  If disjoint there is no intersection  Tree diagram- representation of presenting complicated probabilities ODDS  Odds for: A / (A+B)  Odds against: B/ (A+B)  If only given a part of the odd : O / (1+ O) Steps in assimilation: 1. Give a model 2. Assign digits to rep the outcomes 3. Simulate repetitions (Random digits table)  As variability decrease the sample size increase & vice versa  As confident level increase the confidence interval get wider P+-Z*square root of [p-hat(1-p-hat)/n] Standard error , standard deviation MOE: Margin of Error Probability of an outcome= # of ways for outcome to occur/ total number of outcomes Interpreting  Must be confident  Talk about population not Sample Sample distribution: Normal distribution with a large enough sample size Law of Large Numbers: The more random outcomes are repeated (Independently) the mean of the observed outcomes (sample) will be closer to the expected value (Population) Central Limit Theorem: The sampling distribution for the statistic is normally distributed when you take many, many samples of the large sample size.


Buy Material

Are you sure you want to buy this material for

50 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

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!"

Kyle Maynard Purdue

"When you're taking detailed notes and trying to help everyone else out in the class, it really helps you learn and understand the I made $280 on my first study guide!"

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.