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Reading 1 Summary
The reading is an outline of how to figure out the correct supply chain strategy based on
your product. The first step in this process is to consider the dema
ISYE 4140 Notes 4
Reference Reading: Book by Devore
Chapter 6 (Point Estimation)
Chapter 7 (Confidence Intervals)
Overview of Statistical Inference
Define the population and the r.v. of interest, a
Notes 7: Introduction to Multiple Linear
Regression
Instructor: Professor Xie
Instructor: Professor Xie
Notes 7: Introduction to Multiple Linear Regression
1 / 32
Introduction to Multiple Linear Regre
Notes 9: Multicollinearity
Instructor: Professor Xie
Instructor: Professor Xie
Notes 9: Multicollinearity
1 / 14
Topics:
newfood case study
Living with multicollinearity
Read Chapter 7.6 in textbook K
Notes 6: Correlation and Simple Linear Regression
Instructor: Professor Xie
March 12th, 2015
Instructor: Professor Xie
Notes 6: Correlation and Simple Linear Regression
1 / 78
Book: Applied Linear Sta
Notes 8: Multiple Linear Regression
Instructor: Professor Xie
Instructor: Professor Xie
Notes 8: Multiple Linear Regression
1 / 37
Introduction to Multiple Linear Regression
Topics:
Standarized versio
ISYE 4140 Notes 5
Reference Reading: Book by Devore
Chapter 8 (Hypothesis Testing)
Hypotheses Testing Motivating Example
8 oz. milk cartons are filled at a dairy by a filling machine.
The process is
Notes 12: Diagnostics and Transformation
Instructor: Professor Xie
Instructor: Professor Xie
Notes 12: Diagnostics and Transformation
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Regression model building is often an iterative and interac
Notes 11: Model Selection
Instructor: Professor Xie
Instructor: Professor Xie
Notes 11: Model Selection
1 / 12
Topics:
Quality control case
Automated model selection
Cross validation
Read Chapter 9 in
Homework Assignment 5
Dede Dolkar & Sathya Levy
1.
6.3 The coefficient of determination (R^2) is the fraction of variability in Y explained by the x variables
x1,xp-1. Adding more x variable to the re
ISYE 4140 Notes 1
Instructor: Wei Xie
Role of Probability in Statistics
Most statistical analyses involve some form of sample that you view
as representative of some broader population that consists
ISYE 4140 Notes 3
Sampling Distributions of Statistics
Reference Reading: Book by Devore, Sections 5.3,
5.4, and 5.5
Topics
Study the basic concept about sampling distribution
Use R to obtain the s
Tyler Gendron
661082631
Hamptonshire Case
1.
a. In this situation, Sheen should stock the optimal stocking quantity which is 584
newspapers and the expected profit at this stocking quantity is $331.44
Incentive Alignment Exercise - Updated
You are a retailer. You buy coffee tables at a wholesale price of $30 and sell it for $40. It
costs your supplier $20 to make it. Unsold items will be marked dow
Tyler Gendron
661082631
Barilla Case
The underlying causes of the difficulties that the JITD program was created to solve are
the bullwhip effect and stock out issues that strain their manufacturing a
Tyler Gendron
661082631
Dell Case
In order to critically assess Dells competitive position in the PC market I will use a
SWOT analysis approach to analyze its internal strengths and weaknesses and its
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661082631
Zara: Fast Fashion Case
Out of the international competitors listed in the case it is most interesting to compare
Inditexs financial results with H&M. By assessing four financi
Tyler Gendron
Michael Miles
ISYE 4210
Homework 4
1.
a. Forecasting plays a huge role in the supply chain of a build-to-order manufacturer
such as Dell and is heavily relied on. It is used to predict f
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661082631
Homework 3
1.
a. The main difference between the three aggregate planning strategies is the
parameter that is used to achieve equality of supply and demand over the
aggregate p
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661082631
Homework #2
1.
a. Import duties can have a huge impact on the location decision in a supply chain.
International, state, and city tariffs must be considered and when they are
e
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661082631
HW 1
1. The typical supply chain for a gallon of milk starts with the supplier which usually is a
farmer. From here the milk flows to a manufacturer who with the help of a plas
Notes 6: Correlation and Simple Linear Regression
Instructor: Professor Xie
March 9th, 2015
Instructor: Professor Xie
Notes 6: Correlation and Simple Linear Regression
1 / 81
Book: Applied Linear Stat
ISYE 4140 Notes 2
Instructor: Wei Xie
Basic Statistical Tasks
Collecting Data
Summarizing and Exploring Data
Descriptive statistics, or
Exploratory data analysis
Drawing Conclusions
Inferential Sta
ISYE 4140 Notes 5
Reference Reading: Book by Devore
Chapter 8 (Hypothesis Testing)
Hypotheses Testing Motivating Example
8 oz. milk cartons are filled at a dairy by a filling machine.
The process is
Syllabus
I S Y E-4140
Fall 2017
Statistical Analysis
Instructor: Mohamed H. Aboul-Soud , Ph.D.
Office Phone: 276-2317
E-mail: [email protected]
Office Hours: W 1:00 3:00 or by appt.
TA: Yuan Yi
Office: C
As you increase the sample size, the sampling error decreases and the intervals
become narrower. If you could increase the sample size to equal the population,
there would be no sampling error. In thi
Assignment 3 Solution
Problem 1 (8.10). A mixture of pulverized fuel ash and Portland cement to be used for
grouting should have a compressive strength of more than 1300KN/m2 . The mixture will not
be
Assignment 5 Solution
1. Problem 6.3
Solution: Even though adding predictor variables to a regression model can never
reduce R2 , too many independent variables can cause overfit, multicollinearity. F
Assignment 2 Solution
Problem 1 (5.44). Carry out a simulation experiment using R to study the sampling
when the population distribution is Weibull with = 2 and = 5.
distribution of X
Consider the fo
Assignment 1 Solution
Problem 1. Provide an example of probability question and statistical question.
Answer: See some example in Notes 1.
Problem 2. The accompanying data set in problem2Data.txt cons
Assignment 4 Solution
Use the data from problem 1.19 in KNNL textbook. Read in data. Hint:
> gpa <- read.table("gpa.txt", header=T)
1. Run basic descriptive statistics. Do the ranges of the variables
Assignment 6 - solution
Commercial properties data
1. Problem 7.7.
a. Obtain the analysis of variance table that decomposes the regression sum of
squares into extra sums of squares associated with X4