STAT 301 Engineering Outreach class Homepage

STAT 301 Probability & Statistics, Engineering Outreach class



Welcome to Stat 301, Probability & Statistics. Prereq: Math 175

This page contains information related to STAT 301 Engineering Outreach class.

·        Course description: Intended for engineers, mathematicians, and physical scientists. Introduction to sample spaces, random variables, statistical distributions, hypothesis testing, basic experimental design, regression, and correlation.

·        Syllabus

·        Timeline

o       Take Exam 1 right after Session 6

o       Take Exam 2 right after Session 12

o       Take Exam 3 right after Session 16

o       Take Exam 4 right after Session 22

o       Take Exam 5 right after Session 28

o       Take Exam 6 right after Session 34 (last session)

·        Power point presentations from text publisher

o       Chapter 1

o       Chapter 2

o       Chapter 3

o       Chapter 4

o       Chapter 5

o       Chapter 7

o       Chapter 8

o       Chapter 9  

o       Chapter 10

o       Chapter 12

·        Homework Assignments

·        Homework Solution

o       Chapter 1

o       Chapter 2

o       Chapter 3

o       Chapter 4

o       Chapter 5

o       Chapter 6

o       Chapter 7

o       Chapter 8

o       Chapter 9

o       Chapter 10

o       Chapter 12

·        Statistical Inference Formulas

·        R codes for various tests

·        Related Internet resources on learning basic Statistics:

o       Rice Virtual Lab in Statistics Especially good at:

§        Normal Approximation to the Binomial Distribution

§        Sampling distribution of the sample means for various parent population distribution

§        C.I. for the population mean

o       Webster West at University of South Carolina Especially good at:

§        Let's Make a Deal Game

§        Central limit theorem on simulated dice-rolling experiments

o       This page contains links to MANY interactive web pages that perform statistical calculations

o       Guide to Basic Laboratory Statistics at Kent State University

o       Statistical computation at Vassar College

o       Virtual Laboratories in Probability and Statistics at University of Alabama in Huntsville

o       Philip Stark's Java Statistics tools

o       Globally Accessible Statistical Procedures

o       Java Applets at Duke

o       Introductory Statistics at West Virginia University

o       Statistics Page

o       The Data and Story Library

o       The United States Census Bureau

 


 

Please visit this page regularly and send me e-mails if there's anything I can do to improve the course.

Stephen Lee
Associate Professor
Department of Statistics
College of Letters and Science
University of Idaho
P.O. Box 441104
Moscow, Idaho 83844-1104

Location:  Rm 412, Brink Hall
Tel:  (800) 824-2889 (extension 7701)
Fax:  (208) 885-7959
E-mail:   stevel [at] uidaho [dot] edu
Department of Statistics Office Tel:  (208)-885-2929

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