Chapter 1
The Role of Statistics in
Engineering
Probability vs. Statistics
Probability is about CHANCE
1/3 of this course is pure probability
Statistics are about DATA that estimate
CHANCE
2/3 of this course is statistics
You will have to learn some thing

Design of Engineering
Experiments
Chapter 7
7.1-7.3 only
Introductory Experiment
Gender:
Energy/Caffeine Drink:
Resting Pulse:
M or F
Y or N
bpm value
Need volunteers who
are male or female
who have or have not had a(n) energy/caffeine drink in the last

n
Regression
Chapter6
SimpleLinearRegression
Model
Y = 0 + 1 x +
Weuseleastsquaresestimatorsof0and1andcalledthem
0 , 1
2
WhatistheDowJones
IndustrialAverage(DJIA)?
n
n
n
n
n
Astockmarketindex
Comprisedofthestockof30
companies
Ascaledmeasureoftheaveragep

Decision Making for Two
Samples
Chapter 5
True Story
In the 1980s, the Hughes Aircraft Co. (HAC) bought cryogenic
coolers for their Bradley Fighting Vehicle night vision assemblies
from two different vendors:
Hughes Aircraft Co. (HAC) Santa Barbara (in-h

Decision Making for a Single
Sample
Chapter 4
Ch. 3 Review Points
1. T he s ample mean of n i tems, X , i s a normally distributed
random variable for n 2 i f X i s normally distributed.
2. E(X) = E(X) =
V(X)
2
3 .V(X) = 2 and V(X) =
=
n
n
X-
4. Z =
n
2

Random Variables and Probability Distributions
CHAPTER 3
Facts
s
Let P(A) be the probability of any event,
A, happening
0 < P(A) < 1.0
1-P(A) is the probability that event A does
not happen
s
The sum of the probabilities of all
possible outcomes must =

Chapter 2
Data Summary and
Presentation
Sections 2.1 and 2.3
only
Equations you will be using
soon
N
Population mean
xi
=
i =1 N
n
Sample mean
Population standard
deviation
Sample standard
deviation
xi
x=
i =1 n
=
N
i =1
s=
s
i =1
( xi ) 2
N
( xi x ) 2
n

Chapter 1
The Role of Statistics in
Engineering
Probability vs. Statistics
Probability is about CHANCE
1/3 of this course is pure probability
Statistics are about DATA that estimate
CHANCE
2/3 of this course is statistics
You will have to learn some thing

Statistical Process Control
Chapter 8
What is Quality?
How do we measure quality?
Quality improvement means:
Reducing variability in products and processes
Waste reduction
2
Quality Words
Zero defects
Six Sigma
TQM
Total Quality Management
SQC
Sta

Design of Engineering
Experiments
Chapter 7
7.1-7.3 only
Experiment
Gender:
M or F
Energy/Caffeine Drink: Y or N
Resting Pulse:
bpm value
Need volunteers who
are male or female
who have or have not had a(n) energy/caffeine drink in the last hour
Take yo

Decision Making for a Single
Sample
Chapter 4
Statistical Inference
Statistical Inference helps us determine
information (like mean, variance) about a
population based upon data taken from a
sample of size n of that population
2
Parameter Estimation
The

IEE 380 Online Spring 2015 Team Project
Introduction
Most of IEE 380 has been spent reading problems from the text and applying the
methods and techniques of the class. Data are provided for you in the problems,
but as working engineers and computer scien

Decision Making for Two
Samples
Chapter 5
True Story
In the 1980s, the Hughes Aircraft Co. (HAC) bought cryogenic
coolers for their Bradley Fighting Vehicle night vision assemblies
from two different vendors:
Hughes Aircraft Co. (HAC) Santa Barbara (in-h

Chapter 1
The Role of Statistics in
Engineering
Probability vs. Statistics
Probability is about CHANCE
1/3 of this course is pure probability
Statistics are about DATA that estimate
CHANCE
2/3 of this course is statistics
You will have to learn some thing

IEE 380 F16 Ch3Part1
Finish this homework before 11 pm Wed. 8/31
Problem 3.033
Actual lengths of stay at a hospitals emergency department in 2009 are shown in the table below (rounded to the
nearest hour). Length of stay is the total of wait and service t

MAT343 Need to Study
Basis of Vector Space
Vectors are LI, also
span space
Basis is minimal
spanning set for V (least
number of vectors to span V)
One and only one way
to write x as a linear
combination of basis vectors
Column Space
Subspace spanned by
co

Statistical Process Control
Chapter 8
What is Quality?
How do we measure quality?
2
Quality Improvement Means.
Quality improvement means:
Reducing variability in products and processes
Almost every company has either a quality control
department or indivi

God I hate stats. In a factorial experiment, each possible combinations of the levels of the factors in each replicate of the experiment is investigated. An experiment with two factors (A, B) is represented by a flat sheet in 3-D surface plot. Factor

I+.05 method:
(i-0.5)n*100=k for kth %ile. Returns item place
in array of ordered set. K as integer. N+1 method:
kn+1= i. K in decimal form.
For interpolators (e.g. 3.5), ipart + fpart(larger-smaller). Sample mean is just average Sample variance

I+.05 method: for kth %ile. Returns item place in array of ordered set. K as integer. N+1 method: . K in decimal form. For interpolators (e.g. 3.5), ipart + fpart(larger-smaller). Sample mean is just average Sample variance PDFs: P(a<x<b) =
1) 2)
CD

Chapter 7 Recommended Homework Solutions
7-8. a) Estimated Effects and Coefficients for charge Term Constant method position method*position b)
Interaction Plot for charge
Coef -1.000 -2.797 -0.640 -0.610
StDev Coef 0.4462 0.4462 0.4462 0.4462
T -

Chapter 6 Recommended Homework Solutions
6-1. a) The regression equation is
Thermal = 0.0249 + 0.129 Density Predictor Coef StDev T P Constant 0.024934 0.001786 13.96 0.000 Density 0.128522 0.007738 16.61 0.000 S = 0.0005852 R-Sq = 98.6% R-Sq(adj) =