Lecture Notes MSE 601 Engineering Statistics Ahmad R Lecture Notes MSE 601 Engineering Statistics Ahmad R. Sarfaraz Manufacturing Systems Engineering and Management California State University, Northridge Copyright © 2002. All Rights Reserved.

Overview Of Chapter 1 What is Statistics? Areas of statistics Why Study Statistics? Road Map of the Reasons for Learning Statistical Thinking

What is Statistics? Many meanings Used as a synonym for numerical information Grades on students exams, Diameter of a ball bearing, Amount of reactant in a chemical experiment Used as a body of knowledge that enables one to do the following: Draw useful conclusions from numerical information Make decisions in a rational way Predict and control events Increase quality and productivity

Areas of Statistics Descriptive Statistics Inferential Statistics Methods dealing with conclusion, tabulation, summarization, and presentation of data Inferential Statistics Methods that permit one to reach conclusions and make estimates about populations based upon information from a sample

Why Study Statistics? Engineers are constantly dealing with numerical information that needs to be analyzed Among the reasons: To present and describe numerical information To draw conclusions about large populations from sample information To improve processes and enhance quality To design experiments To obtain reliable forecasts

Road Map of the Reasons for Learning Drawing conclusions about populations based on only sample information Process improv-ements Design of Experim-ents Obtaining of reliable forecasts Presenting and describing information Random sampling and data description Chapter 6 Probability Chapter 2 Discrete random variables and probability distributions Chapter 3 Continuous random variables and probability distributions Chapter 4 Nonpara-metric Statistics Chapter 15 Statistical quality control Chapter 16 Sample linear regression and correlation Chapter 11 Design and analysis of single-factor experiments Chapter 13 Design of experiments with several factors Chapter 14 Point estimation of parameters Chapter 7 Statistical Intervals for a single sample Chapter 8 Test of hypotheses for a single sample Chapter 9 Test of hypotheses for two samples Chapter 10

Statistical Thinking: Understanding and Managing Variability No two things are exactly the same Variability is inherent in all things Ability to identify, quantify, reduce, and control the kinds of variability that affect quality Variability is not inherently undesirable