IE 256/BU/Ekiolu
IE 256
HW 1- ASSIGNED PROBLEMS
(Read CH 1& CH 8 and go through your lecture notes to understand
the theory and example problems first, and then solve the following
problems. You need to solve them both by: (1) Hand calculations, and
(2) c
13April2011
IE256STATISTICSFORINDUSTRIALENGINEERS
PS#6
Question 1) A manufacturer of car batteries claims that his batteries will last, on average, 3 years with a
variance of 1 year. If 5 of these batteries have lifetimes of 1.9, 2.4, 3.0, 3.5, and 4.2 y
CH 16 - Nonparametric Statistics
Chapter Goals
After completing this chapter, you should be
able to:
Apply and interpret the Wilcoxon Rank-Sum test for the
difference between two medians
Perform nonparametric analysis of variance using the
Kruskal-Walli
Ch. 8: FUNDAMENTAL SAMPLING DISTRIBUTIONS AND
DATA DESCRIPTIONS
Take Sample
SAMPLE
estimate
POPULAT ION
Infer
parameter
This chapter continues talking about the subject matter that was covered in Ch. 1 (i.e.,
Descriptive Statistics: how to take a sample a
11.1
Chapter 11: Simple Linear Regression and Correlation
We will examine simple linear regression briefly in this chapter.
11.1: Introduction to Linear Regression
Suppose we are interested in the relationship between college GPA and some factors that
are
IE 256 - CH 1
DESCRIPTIVE STATISTICS
(Summarizing and describing the important features of the collected data by graphical and
numerical methods)
A. GRAPHICAL (VISUAL) SUMMARY MEASURES OF DATA SETS-PICTORIAL AND TABULAR METHODS: (Stem-and-Leaf Displays, D
IE 256/B.U./M.Ekiolu
CH 12 - Multiple Regression Model Building
After completing this section, you should be able to:
use quadratic terms in a regression model
use transformed variables in a regression model
measure the correlation among the independen
IE 256
CH 12 - Multiple Regression Models
(Linear and Nonlinear)
Part 1
Section Goals
After completing this section, you should be
able to:
use quadratic terms in a regression model
use transformed variables in a regression model
measure the correlatio
1
CH 9: ONE- AND TWO-SAMPLE ESTIMATION
PROBLEMS
Classification of statistical methods:
IE 256/B.U./Ekiolu
2
Statistical inference is the act of generalizing from a
sample to a population with calculated degree of
certainty. The two primary forms of statis
IE 256
STATISTICS FOR INDUSTRIAL ENGINEEERS
Spring 2011
Turning data into knowledge to solve real world problems
Instructor: Dr. Mahmut Ekiolu
IE256/M.Ekiolu
1
INTRODUCTION
The Role of Statistics in Engineering
IE256/M.Ekiolu
2
Why Engineers Need to
Know
23March2011
IE256STATISTICSFORINDUSTRIALENGINEERS
PS#4SOLUTIONS
Question1)Let :scoreonaplacementtest.
~
74;
8
We have assumed that the variance of the
8. In order to test the
population is
validity of this assumption we take a sample
fromthepopulationand
02March2011
IE256STATISTICSFORINDUSTRIALENGINEERS
PS#1SOLUTIONS
Preliminaries:
In order to make statistical analysis in this PS, we will use Excel. Besides the statistical functions of Excel
wewillalsouseanAddinofExcel,namelyAnalysisToolPak.Todownloadthe
IE 256/BU/M.Ekiolu
IE 256
HW 6 - ASSIGNED PROBLEMS
(Read CHs Ch 12, 13, 14 and 16 and go through your
lecture notes to understand the theory and example
problems first, and then solve the following problems. You
need to solve them both by: (1) Hand calcul
IE 256/BU/Ekiolu
IE 256 - HW 4
ASSIGNED PROBLEMS
(Read CH 11 and go through your lecture notes to understand the
theory and example problems first, and then solve the following
problems as we go along the sections in the lectures)
CHAPTER
PAGE
11.111.3
39
IE 256/BU/Ekiolu
IE 256
HW1b- ASSIGNED PROBLEMS
(Read the related sections of CH 8 go through your lecture notes to
understand the theory and example problems first, and then solve the
following problems.
CHAPTER
PAGE
PROBLEMS NUMBERS
8.38.5
251
21, 22, 3
IE 256/BU/Ekiolu
IE 256 - HW 3
ASSIGNED PROBLEMS
(Read CH 10 and go through your lecture notes to understand the
theory and example problems first, and then solve the following
problems as we go along the sections in the lectures)
CHAPTER
PAGE
PROBLEM NUM
IE 256/BU/Ekiolu
IE 256 - HW 2
ASSIGNED PROBLEMS
(Read CH 9 and go through your lecture notes to understand the
theory and example problems first, and then solve the following
problems)
CHAPTER
9.19.7
PAGE
285
PROBLEM NUMBERS
9.89.9
297
35, 38, 39, 41, 43
IE 256/BU/Ekiolu
IE 256
HW 5: CH 12- ASSIGNED PROBLEMS
(Read CH 12 and go through your lecture notes to understand the
theory and example problems first, and then solve the following
problems. You need to solve them both by:
(1) Hand calculations with the
02March2011
IE256STATISTICSFORINDUSTRIALENGINEERS
PS#1
A manufacturer of electronic components is interested in determining the lifetime of a certain type of
battery.Asample,inhoursoflife,isasfollows:
123
116
122
110
558
126
125
111
118
117
126
111
126
1
06April2011
IE256STATISTICSFORINDUSTRIALENGINEERS
PS#5
Question 1) A random sample of 12 shearing pins are taken in a study of the Rockwell hardness of the
head on the pin. Measurements on the Rockwell hardness were made for each of the 12, yielding an
a
16March2011
IE256STATISTICSFORINDUSTRIALENGINEERS
PS#3
InthisPS,wehavediscussedthetheoreticalbackgroundofsamplingdistributionsforthemean.
Then we considered the first question of PS # 2 to have a practical insight. Lastly, we have
concluded the PS with a
13April2011
IE256STATISTICSFORINDUSTRIALENGINEERS
PS#6SOLUTIONS
Question1)Let :
~
3;
0,815 to test the
3 and sample variance
A sample of size 5 is collected with sample mean
1.
validityoftheassumptionthat
Previously,weweresolvingthisquestionbycalculating
CH 13 & CH 14
Analysis of Variance
(ANOVA)
Chapter Goals
After completing this chapter, you should be able
to:
Recognize situations in which to use analysis of variance
Understand different analysis of variance designs
Perform a single-factor hypothesis t