Can you help me with it please. The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature.States of NatureDecisionAlternatived₁260 110 35d₂110110 85(a) Construct a decision tree for this problem.Decision Tree1Description

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Answered: The following payoff table shows profit…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The owner of Catamount Ice Cream needs to decide which size shop to rent in a new strip mall. He estimates that monthly profits will vary with demand for ice cream as follows: High Demand Demand Low Size of Shop Large 1,000 1,300 900 1,400 Medium Small 800 1,500 He feels there is a 40% chance that demand will be low and a 60% chance that demand will be high. He'll use a decision tree to help him decide what to do. When he draws his decision tree, how many circles will there be?
List and explain all three classes of decision making?
Why not? 127 Consider another oil-wildcatting problem. You have mineral rights on a piece of land that you believe may have oil underground. There is only a 10% chance that you will strike oil if you drill, but the payoff is $200,000. It costs $10,000 to drill. The alternative is not to drill at all, in which case your profit is zero. a Draw a decision tree to represent your problem. Should you drill?
DECISION TREE ANALYSIS... YOU CAN USE A PEN AND PAPER, AND UPLOAD YOUR ANSWER. ALSO DRAW THE DECISION TREE
A large decision tree has an outcome branch detailed (next page). If decisions D1, D2, and D3 are all options in a 1-year period, find the decision path that maximizes the outcome value. There are specific investments necessary for decision nodes D1, D2, and D3, as indicated on each branch.
Which of the following are advantages of decision trees? Group of answer choices Can be applied to any data structure Robust to outliers and misclassified data Does automatic stepwise variable selection and interaction exploration Has the same assumptions required for good performance of multiple linear regression and discriminant analysis Final classification often has simple, intuitive form Makes powerful use of conditional information in handling non-homogeneity in the data
Assignment 3- Classification Gini 1. We will use the dataset below to learn a decision tree which predicts if people pass machine learning (Yes or No), based on their previous GPA (High, Medium, or Low) and whether or not they studied (see Table 1) Table 1: Dataset GPA Studied Passed L N N L Y Y M N N M Y Y H N Y H Y Y a. Calculate the Information Gain for H(Passed) b. Calculate the Information Gain over the following attributes: GPA ə Studied C. Which attribute should be chosen as the root of the decision tree? d. Calculate and draw a complete tree e. Based on answer (d) predict the following data • GPA (L) and Studied (Y) ● GPA (H) and Studied (N) -
If there is an interaction between the variables of “activity level” and “time of day,” this means that activity level does not have the same effect at different times of day. Group of answer choices True False
"A scientist divides a room of students into three groups. Each group takes a memory test in one of three rooms: a room held at a constant temperature of 40°F, a room held at 60°F, and a room held at 80°F. Afterwards, test are used to determine if temperature affects memory. || Scores Temperature is the Variable, Memory test score is the Variable. "
Dr. Chidi Anagonye studied how self-esteem (high versus low) and success on a school project (passed/succeeded or failed) influences whether students attribute the cause of the outcome to themselves or others. High scores on the dependent variable mean they attribute the outcome to themselves and low scores mean they attributed the outcome to others. Below are his results. Look at the graph below and select the statement that is most true about the graph: Attribution to Self 8 A 9 5 + 3 Low Self Esteem Success High Self Esteem O None of these are accurate Outcome There are 4 independent variables There is definitely an interaction There is definitely not an interaction Failure
Which is the predictor variable (X) and which is the criterion variable (Y) for each of the following examples? A researcher tests whether the size of an audience can predict the number of mistakes a student makes during a classroom presentation. A military officer tests whether the duration of an overseas tour can predict the morale among troops overseas. A social psychologist tests whether the size of a toy in cereal boxes can predict preferences for that cereal.
estion Completion Status: QUESTION 1 A drug company is testing a new pain reliever. They select 100 arthritis patients and effects. 23% report that they experienced unwanted side effects. Name any sample statisticS For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac) conduct a double blind test of the drug to see if there are any unwanted side iX T TTArial TE 3 (12pt) Words 0 Path: p 0UFSTIO N 2 Save All An:P bunit. Chok Sare AfAzisiuars to save allonswers Chck Saue and Subrit to smue and

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The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature. States of Nature Decision Alternative d₁ 260 110 35 d₂ 110 110 85 (a) Construct a decision tree for this problem. Decision Tree 1 Description