1. 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 © All Rights Reserved.

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

3. 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

4. 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

5. 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

6. 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

7. 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