tag:blogger.com,1999:blog-8466304118354921712024-08-29T17:48:07.527-07:00Unknownnoreply@blogger.comBlogger3125tag:blogger.com,1999:blog-846630411835492171.post-37224090789044281262011-07-22T13:46:00.000-07:002011-07-22T13:52:42.154-07:00<div dir="ltr" style="text-align: left;" trbidi="on"><div style="text-align: justify;">Author: Guoqiang TIAN<br /> Webpage:<a href="http://econweb.tamu.edu/tian/">http://econweb.tamu.edu/tian/</a><br /> Type: Study Notes, Lecture Notes<br /> Level: MBA</div><br /> <br /> <br /> <div style="text-align: justify;">Guoqiang TIAN is a professor at the Department of Economics, Texas A&amp;M University</div><div></div><br /> <div closure_uid_86zz3e="109">link:</div><a name='more'></a><br /> <div style="text-align: justify;"><a href="http://econweb.tamu.edu/tian/micro1.pdf">Microeconomic Theory</a></div></div>rnts_02http://www.blogger.com/profile/12035956012672185923noreply@blogger.com0tag:blogger.com,1999:blog-846630411835492171.post-60281343510831751992011-07-21T12:50:00.000-07:002011-07-22T13:58:52.856-07:00<div dir="ltr" style="text-align: left;" trbidi="on"><div style="text-align: justify;">Author: Muhammad El-Taha<br /> Webpage:<a href="http://web1.uct.usm.maine.edu/~eltaha/">http://web1.uct.usm.maine.edu/~eltaha/</a><br /> Type: Study Notes, Lecture Notes<br /> Level: MBA</div><br /> <div class="MsoNormal" style="text-align: justify;"><span class="apple-style-span"><span lang="EN-US" style="color: #666666; font-family: &quot;Trebuchet MS&quot;,&quot;sans-serif&quot;; font-size: 10.0pt; line-height: 115%; mso-ansi-language: EN-US;">The first chapter briefly describes the basic key definitions of data analysis. The next chapter refers to basic probability concepts, such as sample spaces, laws of probability, random sampling and modeling uncertainty. Chapter 3 deals with discrete random variables, and chapter 4 is about continuous distributions, such as the normal distribution, the uniform and the exponential. The central limit theorem is covered in chapter 5. The topic of chapter 6 is large sample estimation. In chapter 7, the discussion is about large-sample tests of hypothesis. The reader can find about a population mean testing, two population means comparing and about p-value. Chapter 8 is about small-sample tests of hypothesis and chapter 9 deals with analysis of variance. Chapter 10 introduces simple linear regression and correlation. Aspects covered in this chapter, are least square prediction equation, predicting y for a given x, coefficient of correlation and computer printouts for regression analysis. Finally, Chapter 11 deals with multiple linear regression.</span></span><span lang="EN-US" style="mso-ansi-language: EN-US;"><o:p></o:p></span></div><br /> <div></div><div style="text-align: justify;">Muhammad El-Taha is a professor at the Department of &nbsp;Mathematics and Statistics, University of Southern Maine, Portland</div><br /> <div closure_uid_86zz3e="109">link:</div><a name='more'></a><br /> <div style="text-align: justify;"><a href="http://www.math.leidenuniv.nl/~redig/lecturenotesstatistics.pdf">An Introduction to Probability and Statistics</a></div></div>rnts_02http://www.blogger.com/profile/12035956012672185923noreply@blogger.com0tag:blogger.com,1999:blog-846630411835492171.post-48058939247286041322011-07-21T12:14:00.001-07:002011-07-21T12:14:45.320-07:00Welcome!rnts_02http://www.blogger.com/profile/12035956012672185923noreply@blogger.com0