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 4 Numerical Data and Chapter 5 Probability

by: Samantha Kessler

Chapter 4 Numerical Data and Chapter 5 Probability Stat 152

Marketplace > Truckee Meadows Community College > Math > Stat 152 > Chapter 4 Numerical Data and Chapter 5 Probability
Samantha Kessler

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 Introduction to Statistics

(Limited time offer)

Unlock Notes

Already have a StudySoup account? Login here

Unlock FREE Class Notes

Enter your email below to receive Introduction to Statistics 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

These notes cover Linear Regression, Correlation Coefficient and Coefficient of Determination. As well as probability notes and formulas.
Introduction to Statistics
Anne Flesher
Class Notes
Introduction, Statistics, intro to statistics




Popular in Introduction to Statistics

Popular in Math

This 2 page Class Notes was uploaded by Samantha Kessler on Saturday October 15, 2016. The Class Notes belongs to Stat 152 at Truckee Meadows Community College taught by Anne Flesher in Fall 2016. Since its upload, it has received 17 views. For similar materials see Introduction to Statistics in Math at Truckee Meadows Community College.


Reviews for Chapter 4 Numerical Data and Chapter 5 Probability


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: 10/15/16
Chapter 4 and 5 notes  ­The least line of linear regression is the line that minimizes the sum of squared  deviations.  (can find this by putting in to your calculator)  y=a+bx  b= the slope, which is the amount that y increases when x decreases by 1 unit. a= the intercept, which is the height of the line about x=0  Calculating slop and interpreting slope­­­­> a good line= data points close to the line *deviations will be small in size  *above the line deviations are positive  *below the line data points are negative  Coefficient of determinations (r^2)= the amount of variability in y that can be a  characteristic to an approximate linear relationship between x and y.   Correlation Coefficient(r) = measures strength and direction of a linear relationship  between two number values.    [By using the linear regression function in calculator it will find all the stated above  points] Probability is denoted as P(outcome) or P(E), where E= event  1­P(outcome)= the complement of outcome  Law of Large Numbers: As the number of observations increases the amount of time  that an outcome occurs, it gets close to the probability of the outcome.  * Chance Experiment: the process of making observations when the outcome is  uncertain about two or more possible outcomes.  * Sample Space: collection of all the possible outcomes of a chance experiment.  P(E)=( # of outcomes favorable to E)/(# of outcomes in a sample space)  Finding the complement: P(Ec)= 1­P(E)  where P(Ec) is the probability that E will not  occur. 


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

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!"

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!"

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."


"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.