MBA662 HW1
Dr. Nuo Xu
(Adapted from Lawrence and Pasternack, Chapter 2 Problem 5)
Anderson & Blount (A&B) Woodworks makes tables and chairs from 30-inch wide mahogany sheets
that it purchases the linear foot. It can purchase whatever mahogany it desires f
)7) 12/5349
MBA662 Sample Test 2 Name
Dr. Nuo Xu
Part I Multiple Choices (32%)
1. The owner of a fish market has an assistant who has determined that the weights of catfish are normally
distributed, with a mean of 3.2 pounds and a standard deviation of 0.
MBA662 Test 1 Name 50/117011
Dr. Nuo Xu
Part | Multiple Choices (24%)
1. Which of the following constraints does not contribute to defining the feasible region?
in.) #2
a) X1 + X2 S 10 LO) - I [a Fjt
@ x1 x2 3 10 Rhee; / L?)
c) X1+3X2520 (obit-"en/
f,
2
16. If P(X)=0.6, P(Y)=0.7, and P(X and Y)=0.3, then X and Y are complements.
a. True
b. False
c. Not enough information to determine
False. While P(A or B) = 1, A and B are not mutually exclusive. Complements are
mutually exclusive.
17. P(Y)=0.2,
Develop a model to predict the assessed value of houses (in $thousands), using the size of the houses (in
thousands of square feet) and/or the age of the houses (in years) from the excel sheet provided.
1.) Develop a simple linear regression model to pred
MBA662 HW9
Dr. Nuo Xu
Develop a logistic regression for the provided dataset, where, in addition to CEA, four other commonly
used biomarkers for Colorectal Cancer diagnosis and screening are also provided.
1. Build a logistic Regression Model that uses al
MBA662 HW6
Dr. Nuo Xu
1) A Type II error is committed when
A) you reject a null hypothesis that is true.
B) you don't reject a null hypothesis that is true.
C) you reject a null hypothesis that is false.
D) you don't reject a null hypothesis that is false
MBA662 Sample Test 1
Dr. Nuo Xu
Name_
Part I Multiple Choices (24%)
1. Which of the following constraints does not contribute to defining the feasible region?
a)
b)
c)
d)
X1 + X2 10
X1 X2 10
X1 + 3X2 20
X1 , X2 0
2. The feasible region does not include:
a
MBA662
Assignment 4
February 5 2017
1. A consumer survey asked respondents to indicate their favorite cola. The
responses were recorded as follows:
Coca Cola - 1
Pepsi =-2
Other =-3
I do not drink cola 4
What is the measurement scale of col
MBA662
Dr. PJ Ward
1. Let us define a random variable Y as the sum of the number of dots from tossing two fair
dice. For example, if we roll a 2 and a 3, then Y=5.
a) Tabulate the probability distribution and cumulative distribution of Y.
b) Calcul
MBA662 M1P2 Solution
Dr. Nuo Xu
Day workers work 10hrs./day x 3 days = 30 hours
Night workers work 14 hrs./day x 4 nights = 56 hours
a. MAXIMIZE
S.T.
B - 30DX1 -56EX2 - F
X1
2 + (T/1000) ; T is the number of attendance.
X2
N
X1, X2 0 and integer
Comments
Develop a model to predict the assessed value of houses (in $thousands), using the size of the houses (in
thousands of square feet) and/or the age of the houses (in years) from the excel sheet provided.
1.) Develop a simple linear regression model to pred
Probability Distribution II
Dr. Nuo Xu
1. Probability and Distribution for Continuous Variables
2. How to use Function to describe them
3. Galton Machine
1. Probability Distribution for a continuous variable
Discrete vs. Continuous
Points vs. intervals
Co
MBA662 M5P1 Solutions
Dr. Nuo Xu
1.
B7=IF(RAND()>$C$2,0,1)
Rand() returns a random number from a continuous uniform distribution with the uniform (i.e., same)
density value between (0, 1).
IF(logical_test, value_if_true, value_if_false); therefore, if the
1
MBA662 Sample Test 1
Part I Multiple Choice
1. Which of the following constraints does not contribute to defining the feasible
region?
a) X1 +X2 10
b) X1 X2 10
c) X1 +3X2 20
d) X1,X2 0
2. The feasible region does not include:
a) interior point
50 CHAPTER 2 Linear and Integer Programming Models
2.2 A Linear Programming Model
W
In this section we illustrate the procedure used to construct linear programming
models by considering the situation faced by Galaxy Industries. Although this pro
toty
Regression Analysis I
Dr. Nuo Xu
1. Linear Regression
Example: Rent vs. Size of a property
We collected 25 rental properties with rent (measured in dollars) and size (measured in square
feet), shown in a scatter plot in figure 1.
We are interested to se
Statistical Inference I
Dr. Nuo Xu
1. What is Statistical Inference?
Given a probability distribution for a random variable X, we can answer questions such as:
What is P(a<X<b), how to find a and b so that P(a<X<b)=80%, or Expectation
Use random numbers
Microsoft Excel 12.0 Answer Report
Worksheet: [Book1]Sheet1
Report Created: 8/18/2013 4:15:53 PM
Target Cell (Max)
Cell
Name
$G$7 profit sumproduct
Original Value Final Value
0
8625
Adjustable Cells
Cell
$E$6 X1
$F$6 X2
Original Value Final Value
0
105
0
MBA662 Sample Test 2
Nuo Xu
Name_ Dr.
Part I Multiple Choices (32%)
1. The owner of a fish market has an assistant who has determined that the weights of catfish are normally
distributed, with a mean of 3.2 pounds and a standard deviation of 0.8 pound. If
MBA662 HW8
Dr. Nuo Xu
Develop a model to predict the assessed value of houses (in $thousands), using the size of the houses (in
thousands of square feet) and/or the age of the houses (in years) from the excel sheet provided.
1. Develop a simple linear reg
Weekly production of tables
Weekly production of chairs
X1
X2
Revenues
Expenses
300X1+150X2
Max(Gross Profit)
Subject To
Cost of Wood for Chairs and tables (variable)
Cost of Cushion for Chairs (variable)
Cost of other hardwares (variable)
Wages (fixed)
R
Decision Variables
SA
CD
AL
AR
BI
NM
MS
AH
Minimize (Risk)
Subject to
Total Investment Constraint
Annual Return Constraint
Rating Constraint
Liquidity Constraint
SA+CD Constraint
Savings Account Investment
Certificate of Deposit Investment
Atlantic Lighte
MBA662 HW5
Dr. Nuo Xu
Simulation for Taks
Taks Home Furnishing sales 18 cubic-foot Whirlpool refrigerators, which come in three colors, white,
almond and harvest gold. Each day, the store expects between 0 and 4 customers interested in buying a
refrigerat