Statistical Methods For Testing Development And Manufacturing I
ISE 301

Spring 2009
CEG/EE 260 Dr. Sridhar Ramachandran
Lab 2
Lab 3: Combinational Design with MSI components
(a.k.a The Car Dashboard display lab) CEG/EE 260
PURPOSE The purpose of this lab project is to introduce students to the synthesis of a digital devise of moderate co
Statistical Methods For Testing Development And Manufacturing I
ISE 301

Spring 2009
Review Test Two
Statistical Methods for Testing, Development, and Manufacturing I
Winter 2010
Name and discuss the two major areas of statistical inference. a. parameter estimation b. and hypothesis testing Explain how chance plays a role throughout the s
Statistical Methods For Testing Development And Manufacturing I
ISE 301

Spring 2009
Test Two Review Practice "TakeHome Quizzes" Standard Normal Distribution (ZTable) Quiz a) Find the probability (1.17 < Z < +2.03) b) Find z, such that P(Z < z) = 0.9 c) Find z, such that P(Z < z) = 0.5 d) Find z, such that P(Z > z) = 0.9 e) Find z, suc
Statistical Methods For Testing Development And Manufacturing I
ISE 301

Spring 2009
Forming the Null Hypothesis Quiz
Statement Greater than 100 Equal to 100 Not more than 100 Less than 100 Greater than 100 At least 100 Equal to or greater than 100 Less than or equal to 100 Not equal to 100 Not less than 100 Equal to or less than 100 Grea
Statistical Methods For Testing Development And Manufacturing I
ISE 301

Spring 2009
Review Test Three
Statistical Methods for Testing, Development, and Manufacturing I
Winter 2010
Understand that valid statistical conclusions are based on randomly selected, representative samples of the population. That is to say, if the sample is not re
Statistical Methods For Testing Development And Manufacturing I
ISE 301

Spring 2009
Simple Linear Correlation
Simple  Two Variables (X & Y) Linear  Straight Line ( Y = mX + b ) Correlation  Mathematical Relationship
Assumptions: 1. Both X and Y are random variables. 2. Data pairs (X, Y) are Bivariate Normal Distributions. For any fixe