Research Porposal
Proposal 1
Cost
Total Budget
Retained Percentage
Retained Budget
Chances of No Competitors
Chances of One Competitor
Chances of Success with One Competitor
Chances of Two or more Com
a. (6 points) What is the optimal decision policy that Professor Langdon will employ if he is an
expected monetary value (EMV) maximiser?
(i). (4 points) Produce a high-resolution decision tree (zoomi
a. (1 point) Visualize and describe the distribution of interest rates in the training data set.
Exhibit 1.
1400
1203
1200
Frequency
1000
800
654
563
600
539
446
400
278
32
12
10
2
0.047788
1
0.045765
Answer a:
1. It is showed in the graph that generally, there is an upward trend in the number of searches for
gym over time.
2. There is a seasonal component to the forecast as we can observe there is
RULES:
#Marriage Relation
[1] When an Employee/ Employees spouse leaves the Company, the
corresponding marriage entry should be deleted.
[2] When an employees marital status changes, the corresponding
BUDT 758Y Fall 2017 Homework #1 Data and Entity-Relationship (ER) Model
Due by 11:59pm, Monday, September 18th, 2017
Note: Insert your final ER diagram downloaded from the Lucidchart into this documen
BUDT 758Y Fall 2017 Homework #1 Data and Entity-Relationship (ER) Model
Due by 11:59pm, Monday, September 18th, 2017
Note: Insert your final ER diagram downloaded from the Lucidchart into this doc
a. (6 points) What is the optimal decision policy that Professor Langdon will
employ if he is an expected monetary value (EMV) maximiser?
(i). (4 points) Produce a high-resolution decision tree (zoomi
1
Agenda September 18
Decision Making Under Uncertainty
Introduction to Decision Analysis Under Uncertainty
Given our coverage of probability, we would like
to develop a formal framework for analyzin
1
Agenda September 6
Data Visualization Day!
Apply data exploration and visualization design
techniques
2
Tableau
Becoming industry standard for data
visualization
Some built-in data manipulation
Vamsi Krishna,
DATA NETWROKS AND COMMUNICATION
HW 2
1.
What are the different types of application architectures?
Host-based Architectures,
Client -Based Architectures,
Client-Server Architectures,
Tw
1
Agenda August 30
Introduction to Data Exploration
Descriptive Statistics
Finding Relationships among Variables
Excel Demonstration Basic + StatTools
HyTex Catalog Marketing Data
2
Data Explorati
1
Agenda September 11
Probability Essentials
Random Variables
AND: Homework #1 Assignment, due 9/20
2
Introduction
The key challenge in solving real business
problems is dealing appropriately with un
1
Agenda September 13
Standard Probability Distributions
2
Introduction
Several distributions for random variables
commonly occur in a variety of business
applications
Weve already discussed the Gen
1
Agenda October 2
Confidence Intervals
2
Introduction to Confidence Interval Estimation
Review
Sampling distributions are probability distributions of a
statistic calculated from a random sample (e
1
Agenda October 4
Hypothesis Testing I
2
Introduction
Oftentimes, we have a hypothesis about a
population that we would like to test
Our final statistical inference methodology,
hypothesis testing,
VAMSI KRISHNA
DATA NETWORKS AND COMMUNICATION
758Z HOME WORK 3 - TRACK 1
Exercise C (1 point)
Three terminals (T , T2 , T3 ) are to be connected to three computers (C1 , C2 , C3 ) so that T1 is
connec
VAMSI KRISHNA
DATA NETWORKS AND INFRASTRUCTURE
HW ASSIGNMENT 1
(Q8) Describe the seven layers in the OSI network model & what they do.
The Open Source Interconnection (OSI) model has 7 layers namely
1
Agenda October 9
Hypothesis Testing II
Reminders
Homework #2 due
Homework #3
released
Quiz #3 on Wednesday
2
Hypothesis Tests for a Population Proportion
To conduct a hypothesis test for a popul
Protocol Analysis: Capturing Packets
This tutorial lab is meant as an introduction to Wireshark and concept behind packet capture. It is worth a total of 10
points. By performing this lab, we can ensu
VAMSI KRISHNA
DATA MODELS AND DECISIONS HW1
Q1.(a) Visualize and describe the distribution of the number of items purchased per order.
The graph shows us the number of orders ordered per user Id and s
1
Agenda Sept. 25
Detailed Decision Tree Modeling
Merck Case
Homework #2 Released, Quiz #2 on Wednesday
2
Tips for Building Decision Trees
Determine the appropriate sequence of decisions
and chance
1
Agenda December 5
Detailed Simulation Model
Detailed Simulation Model
College Fund Investment
Case 16.1, Investing for College.xlsx
Your next door neighbor has a 12-year old
daughter and he wants