×

### Let's log you in.

or

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

×

or

by: Mara DePena

17

0

1

# STAT 2004 Week 14 STAT 2004

Mara DePena
Virginia Tech
GPA 3.62

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

×
Unlock Preview

These notes go over chi-square tests and linear regression models.
COURSE
Introductory Statistics
PROF.
Metzger
TYPE
Class Notes
PAGES
1
WORDS
CONCEPTS
Statistics, Chi-square, t-test, Best, fit, Linear, regression
KARMA
25 ?

## Popular in Statistics

This 1 page Class Notes was uploaded by Mara DePena on Sunday May 1, 2016. The Class Notes belongs to STAT 2004 at Virginia Polytechnic Institute and State University taught by Metzger in Spring 2016. Since its upload, it has received 17 views. For similar materials see Introductory Statistics in Statistics at Virginia Polytechnic Institute and State University.

×

## Reviews for STAT 2004 Week 14

×

×

### What is Karma?

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

Date Created: 05/01/16
STAT 2004 WEEK 14 REVIEW: T-test  Use a T-test when sigma is unknown.  Use cutoffs to test, not p-values. HYPOTHESIS TESTING RATIONALE  Make an assumption. Is what you observed likely or unlikely?  Compare what you observe to what you expect. CHI-SQUARE TEST  How different is what we observed from what we expected? 2  For each category, calculate (observed−expected) . Add these values expected together for the chi-square value.  The degrees of freedom for a chi-square value is the number of categories minus 1. o Look up the actual chi-square value on the table. o Is the chi-square value you calculated larger than the value on the table? If so, reject the null. If not, fail to reject the null. BASICS OF LINEAR REGRESSION  Create an equation of a line that fits through data points as well as possible.  X is the independent variable while Y is the dependent variable.  Questions to ask yourself: o Are the points perfectly straight? o What is the best line? o What are the slope and y-intercept? o What’s the correlation (r)?  R is between -1 and +1.  Fit a line through the points. o Y= mx+b is changed to y= + x,w0th1 being t0e y-intercept and  1eing the slope. o  0nd  ar1 considered true parameters. Use estimates when using statistics, with the hats over them.  Residual- How far is the line from the actual point?  Best line- Minimizes sum of the residuals squared.

×

×

### BOOM! Enjoy Your Free Notes!

×

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!"

Amaris Trozzo George Washington University

#### "I made \$350 in just two days after posting my first study guide."

Jim McGreen Ohio University

Forbes

#### "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

#### STUDYSOUP CANCELLATION 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 support@studysoup.com

#### STUDYSOUP REFUND POLICY

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: support@studysoup.com

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 support@studysoup.com