The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature. Excel File: data20-01.xls States of Nature Dicision Alternative 81 82 83 250 100 25 da 100 100 75 a. Construct a decision tree for this problem. $1 82 $3 81 da 82 b. Suppose that the decision maker obtains the probabilities P(s1) = 0.65, P(s2) = 0.15, and P(s3) = 0.20. Use the expected value approach to %3D the optimal decision. EV(dı) = (to 1 decimal) %3D EV(d2) = %3D The optimal decision is Select your answer- v 00

The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature. Excel File: data20-01.xls States of Nature Dicision Alternative 81 82 83 250 100 25 da 100 100 75 a. Construct a decision tree for this problem. $1 82 $3 81 da 82 b. Suppose that the decision maker obtains the probabilities P(s1) = 0.65, P(s2) = 0.15, and P(s3) = 0.20. Use the expected value approach to %3D the optimal decision. EV(dı) = (to 1 decimal) %3D EV(d2) = %3D The optimal decision is Select your answer- v 00

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.CR: Chapter 1 Review

Problem 78CR

See similar textbooks

Similar questions

For the year 2017, 90% adults in the U.S. population aged 25 and older had completed high school. The attainment of a bachelor’s degree or higher for the same population stood at 34%. Assuming, that one must complete their high school before studying for their bachelor's, with H denoting those who have completed high school and B those who have completed their bachelors, draw a decision tree to help you find the following: P(H) (B|H) P (H and B) P (Hand B’) Source: High School Completion Rate Is Highest in U.S. History
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?
The following payoff table shows profit for a decision analysis problem with two decision alternatives and three states of nature.
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 64.49590764.495907 5.9533305.953330 10.83358510.833585 0.0000370.000037 Hours Unsupervised −0.974079−0.974079 1.1097971.109797 −0.877709−0.877709 0.4138620.413862 Hours Playing Video Games 4.9768084.976808 1.0636721.063672 4.6788924.678892 0.0034000.003400 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables…
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Write the multiple regression equation for the computer output given. Round your answers to three decimal places.
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Indicate if any of the independent variables could be eliminated at the
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Intercept 64.821745 4.918050 13.180375 0.000012 Hours Unsupervised -1.691108 1.396989 -1.210538 0.271590 Hours Playing Video Games 6.796882 1.515248 4.485657 0.004167 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables could be eliminated at the 0.050.05 level of significance.
Days Precipitation Yield 261 34.2 115 215 53.7 178 202 42.8 131 238 36.9 147 170 39.1 137 323 13.4 191 220 63.2 133