DAT 520 Problem Set 5
Conditional Probability in Decision Trees
In Module Five, our exercise is building on what you have learned in prior modules. The three reference
videos for probabilistic top-dow
Shanquala Pruit
DAT 520
6/6/2016
Homework Problems: Situation: It is a cold, dark, and stormy winter morning. Your boss has called a 5
a.m. meeting before she leaves to catch a flight to the Bahamas f
Shanquala Pruit
DAT - 520
6/26/2016
Question 1: What is the probability that a property worth at least $150,000 in year 1 ends up worth $200,000 or more in year 5? (Hint: Think
about numerator and den
Shanquala Pruitt
DAT 520
7/17/2016
I have decided to use continue to use the Tree Plan decision tree for my decision modeling.
Initially, this model seemed to be the best approach since my knowledge i
DAT 520 Problem Set 2
Simple Proportions and Binomials
Binomial Probability Review
The binomial probability formula:
Deal with factorials efficiently: You can cut down the amount of calculating by red
Analysis
The percentage of capital gain of both categories who earn below and above $50,000 seems to be the
same. The tree
The rattle decision tree tend to elaborate more by providing more analysis of
Shanquala Pruit
DAT 520
7-10-2016
DAT 520 Problem Set 7: Sensitivity Analysis and Model Diagnostics
a. With all of that in mind, look at your graph. At what value (%) does doing the research first
bec
Shanquala Pruit
DAT 520
6/12/2016
Problem 1: You are taking a 10 question multiple choice test. If each question has four choices and you
guess on each question, what is the probability of getting one
In this discussion, share what your research question is and why you chose it. Describe how you can
apply decision analysis principles to this specific situation.
The research question that I selected
DAT 520 Problem Set 3
Cumulative and Conditional Probability
Overview: The last problem set in Module Two exposed you to dependent trials that caused the
probability to shift slightly with each choice
Calculating Probability
Probability analysis is the basis for many Six Sigma tools and is used during most stages of the DMAIC process. For instance, control charts can be used
during the Control stag
Binomial Distributions
The binomial distribution is a discrete probability distribution, and one of the more important and frequently used statistical distributions in Six Sigma. The
word binomial mea
Probability Distributions
In any random experiment, a chance, or probability, always exists that a particular event will or will not occur. The probability that an event will occur is the
ratio of the
Independent, Dependent, and Mutually Exclusive Events
Independent Events
Events are independent when the occurrence of one event has no effect on the occurrence of other events. The probability of bot
Problem Set 2
1
Problem Set 2
Southern New Hampshire University: Decision Methods & Modeling
Problem Set 2
2
1.
Think for a minute and describe your optimal strategy for solving this problem in 50
wor
probability
The new probability for T1 test is as below;
Now, I have to guess 1 correct Answer among the two question, So the parameter will be:
N=2
K=1
P = 0.25
1- P = 0.75
= P(1 correct question in
Running head: MILESTONE ONE
1
Milestone One
Nicole P. Augustus-Ghoram
DAT 520
SEPTEMBER 17, 2017
Dr. Richard Haberlin
MILESTONE ONE
2
Research Question:
Which five states (Alabama, Georgia, Louisiana,
In this weeks discussion, you will be utilizing Excel and TreePlan to complete your problem set. Review
the problem set and other materials in this module and share your thoughts on these tools. Do yo
Running head: PROBLEM SET 6
1
Problem Set 6
Nicole Augustus-Ghoram
DAT 520
October 15, 2017
Dr. Richard Haberlin
PROBLEM SET 6
2
Problem Set 6
a. d = 0.33
b. f = 0.19
1. 0.33 is the probability of hav
DAT 520 Final Project Notes
This document is intended to assist you with the final project. This course introduces a decision analysis
using a decision tree. There are guidelines that can assist in co
DAT 520 Milestone Three Guidelines and Rubric
In this milestone, you will perform an evaluation of your decision model and revise your decision model as needed. Evaluation examples are if you are
perf
DAT 520 Advanced Problem Set Rubric
Problem Sets 4, 5, 6, and 7
Instructor Feedback: This activity uses an integrated rubric in Blackboard. Students can view instructor feedback in the Grade Center. F
DAT 520 Peer Review Activity Checklist and Rubric
Evaluate two of the exemplar final projects. For the peer reviews, all the items in the final project rubric and the course outcomes are fair game for
DAT 520 Milestone One Guidelines and Rubric
For your project, choose a data set from the curated list of sources (Final Project Topics and Sources.xls), or you may submit your proposal for a different
DAT 520 Milestone Two Guidelines and Rubric
In this milestone, you will create a first draft of your decision tree. This task assumes you have already established a viable research question, identifie
DAT 520 Journal Guidelines and Rubric
Like discussions, journal entries are designed to help you make meaningful connections between the course content and the larger concepts and goals of the
course.
DAT 520 Basic Problem Set Rubric
Problem Sets 1, 2, and 3
Instructor Feedback: This activity uses an integrated rubric in Blackboard. Students can view instructor feedback in the Grade Center. For mor
Poisson Distributions
To understand probability distributions, it is necessary to grasp the difference between defects and defectives. In Six Sigma, a defect is a nonconformity a characteristic that d
Graduate Course Syllabus
DAT 520: Decision Methods and Modeling
Center: Online
Course Prerequisites
DAT 510
Course Description
The role of many analysts is as much about interpreting the results of da