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STAT 2004, Week 13: Introduction of T-Distribution

by: Mara DePena

STAT 2004, Week 13: Introduction of T-Distribution STAT 2004

Marketplace > Virginia Polytechnic Institute and State University > Statistics > STAT 2004 > STAT 2004 Week 13 Introduction of T Distribution
Mara DePena
Virginia Tech
GPA 3.62

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About this Document

These notes introduce t distribution, which you use when sigma is unknown.
Introductory Statistics
Class Notes
introductory, stat, Statistics, t-distribution
25 ?




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This 1 page Class Notes was uploaded by Mara DePena on Sunday April 24, 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 8 views. For similar materials see Introductory Statistics in Statistics at Virginia Polytechnic Institute and State University.

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Date Created: 04/24/16
STAT 2004 WEEK 13  Central limit theorem- No matter the observation distribution, for a large n, x bar ~ N (mu, standard error.) (x bar follows a normal distribution) o This math won’t be tested, but the concept is important.  T-distribution- Has more outliers. Handle problems the same way you would handle a normal distribution, but use the t-table chart. o Degrees of freedom- How many pieces of info? It is equal to n-1, and follows the t when written in distribution. For example, if it had 7 degrees of freedom the distribution would be written as t17(mu, S.E.).  The rest of the lecture was essentially going over the hypotheses again. If you are still having trouble with these, remember that finding the p-value is a much easier way to solve the problem. If the p-value is less than alpha, reject the null hypothesis.


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