so for P(Demand>
10.667)- you would use its normal mean and standard deviation (because it is not testing
sampling distribution) so dont do sigma/sqrt of n- just use sigma

TO 301 Section 005: Homework Assignment 1
Group 137: Jing Jing Wu, Xin Xu, Yusi Sang
1
a) Case 1: The LP has a unique optimal solution at x1=6 and x2=0 and it is
maximized at x=6.
b) Case 1: The LP has

$125,500,605.10 (Computed by you)
$125,500,605.10 (Answer)
Operating Profit
Operating Profit
Constraints
Destinations\Mills
Seattle
Chicago
Dallas
New Orleans
Denver
Los Angeles
San Francisco
Vancouver
Calgary
Spruce Mills
Naomee Mills
0
0
92,680
73,640
0

TO 301 Section 005: Northwest Newsprint, Inc Case Study
Group 137: Jing Jing Wu, Xin Xu, Yusi Sang
Case Study
Executive Summary
Northwest Newsprint, Inc is a major newsprint producer with three pulp
mills in

Linear Programming: Basic Concepts and Graphical Solutions
1. Elements of linear programming
(a) Decision variables: what you change to maximize/minimize (units of production)
(b) Objective function: what you are optimizing (max. profit, min. cost)
(c) Co

Executive Summary for Northwest Newsprint Inc.
This report contains information regarding our analysis and
recommendations for a variety of business decisions that Northwest is considering.
We were asked to determine optimal production and distribution de

Case Study #2, HW 3
Executive Summary
Exotic Adventures (EAI) operates expedition-style adventure cruises using a converted
fleet of research vessels. EAI is considering shifting its Amazon River voyage from March, high
water season, to October, which is

TO 301 HW Assignment #3
1. a. False. The $1 million represents the EMV without perfect information. EMV
with perfect information will be higher than EMV without perfect information,
because it makes sense that we would expect to make more money if we knew

TO 301 - Practice Problems
[Multiple Choice and Short Answer Questions: 2 points each for multiple choice; short
TO 301 Midterm total]
answer points as indicated. 32 pointsReview Problems. Note that,
on your midterm exam, all questions will be
Questions i

TO 301
Business Analytics and Statistics
Syllabus Fall 2014
Instructors:
Stefanus Jasin (Sections 3 and 4)
Assistant Professor of Technology and Operations.
Voicemail:
Oce:
Email:
Oce hours:
(734)-764-2305
R5310
[email protected]
Thursday and Friday 1:30

Midterm Practice Problems
Module 1
1. Bartley Machine produces machined parts for an automotive supplier. Bartley has two
production facilities, one in New Hampshire and one in Florida. Bartley has three major
customersone in Virginia, one in Kentucky, an

TO 301: Homework Assignment 2
1. No, these probability assignments are invalid, because the sum of the probabilities for
each event exceeds 1. In order for probability assignments to be valid, two rules must be
met. First, each probability assignment must

TO 301 Section: 002 HW 2
Dante Kabat, Jacob Artzi, and Mark Castellano
1. A. X1+ X2 >= 1
B. X1 = X2
C. X2+X3+X4+X5+X6 = 3
D. 2X1 =< X2 + X3 + X4
E. 2X1+1 >= X2+X3+X4
2. A.
Decision Variables: Xda=1 : David analyzes case
Xda=0 : David doesnt analyze case
X

Sparrow & Pond
Author
Date
Purpose
9/4/2015
To record book orders from a Sparrow & Pond customer
Customer Order
Order ID
Shipping Date
Delivery
Items Ordered
Total Charge
14123
4/3/2016
Overnight
5
$156.63
Ship To
First Name
Last Name
Tobias
Gregson
Addre

Big Red Wraps
Big Flavor, Small Price
Author
Date
Alyssa Smiley
Saturday, September 05, 2015
Purpose
To display sales information for the
upcoming Big Red Wraps sales
conference
Big Red Wraps
Big Flavor, Small Price
Sales Statistics
Category
Gross Sales
C

Module 1: Optimization (Classes 1-4)
Optimization
Construct a model, identify relationships between decisions and constraints, find best decisions, conduct
what if analysis
Decision Variable
what you change to optimize objective
Objective Function
ex: pro

TO Final Study Guide
Module 4: Statistical Inference
Population
The set of all objects or individuals of interest or the measurements obtained from all measured
o Measured as a parameter
A measure computed from the entire population
= population MEAN
o su

P value tells you how close you are to rejection region
The bigger p- value the worse support null and reject alternative hypotheis
Big p you will reject null hypothesis type 1
If p value that is small accept the alternative hypothesis
Type 11- false you

Homework Assignment #9
1. a. See Excel Spreadsheet (HW 9 Question 1 Part A and B)
b. See Excel Spreadsheet (HW 9 Question 1 Part A and B)
c. The portfolio that contains 0% MRK return and 100% UTX return maximizes
return.
d. The portfolio that contains 40%

Homework Assignment #7
1. a. *See submitted excel worksheet for calculations where no work is shown*
Hypotheses:
H0: < 900
HA: > 900
Data:
x 872
=
s = 33
n = 75
Test-statistic:
T = (x )/(s/sqrt(n) = (872 900)/(33/sqrt(75) = (-28)/3.81 = -7.35
P-Value:
P(T

Homework Assignment #8
1. a. The average level of revenues that the manager could expect for 2006 is
$20,816,639.98.
b. 95% CI: average level of revenues for 2006 (x) + t*(st. dev.)/(sqrt(n)
=$20,816,639.98 + (1.96)*[248,867.87/sqrt(500)]
=$20,816,639.98

1.
a)
b) E(X) = 51.5 (work in excel)
c) variance = 4082.75
standard deviation = 63.896
(work shown in excel)
d) weekly mean = 360.5
weekly standard deviation = 169.054
(work shown in excel)
e) E(X) = 47.5
Variance = 3118.75
Standard deviation = 55.846
2.