The following payoff table shows the profit for a decision problem with two states of nature anwo decision alternatives.Decision Alternatived₁d₂052Submit Answer- [-/6 Points]State of Nature$1115(a) Suppose P(s) = 0.2 and P(s₂) = 0.8. What is the best decision using the expected value approach?The best decision is --?--✓ with an expected value ofDETAILS$2(b) Perform sensitivity analysis on the payoffs for decision alternative d₁. Assume the probabilities are as given in part (a), ansolution found in part (a) optimal.2As long as the payoff for s, under d, is |--?-- ▼14As long as the payoff for s, under d₁ is --?-- v2Is the solution more sensitive to the payoff under state of nature s₁ or s₂?O 51then the solution found in part (a) will be optimal.then the solution found in part (a) will be optimal.CAMMIMS16 14.E.015.

Given information Decision alternative s1 s2 d1 11 2 P(s1)= 0.2 d2 5 4 P(s2)= 0.8

Answered: The following payoff table shows the…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Below is my script for some problems I am doing in RStudio. How do I code to get the statistical data that shows how the male tv hours differ to the female tv hours? Chapter 2 R Lab.R X StudentSurvey.(1) x Source on SaveE T # 3- Ine Exercise nours are skewea Tert 8 xtabs (~Year, Student Survey. (1)) 9 # 1- The highest concentration of students are Sophomores 10 table(Year)/length (Year) II # 2- The relative frequency for seniors was 0.1% (rounded) 11 Student Survey. (1) STV 12 12 TV 13 14 23 15 16 29 18 19 20 21 22 23 21 24:1 hist (TV) →→Run boxplot (TV) # 6- Based on the box plot there is not a smallest outlier, but there are large outliers # The outliers for hours spent watching TV are any values above 20 hours Survey - Student Survey. (1) #Renaming xtabs (~Sex, Survey) install.packages ("lattice") library("lattice") bwplot (TV Sex, Survey) # 7- Men on average watch more TV # 8- Men have more variability in hours watching TV (Top Level) + Source R Script =
21. Attitudes toward recycled products Exercise 19 pg 15 gives data on the opinions of people who have and have not bought coffee filters made from recycled paper. To see the relationship between opinion and experience with the product, find the conditional distributions of opinion (the response variable) for buyers and nonbuyers. What do you conclude?
Compare What-If Analysis using Trial and Error and Goal Seek to the given scenario: Let's say a student is enrolled in an online class at a learning institution for a semester. His overall average grade stands at 43% in the course (Term Grade is 45%, Midterm Grade is 65%, Class Participation is 62% and Final Exam is 0%). Unfortunately, he missed his Final Exam and was given 0%. However, he has the opportunity to redo his Final Exam and needs at least an overall average of 60% to pass the course. How can you use Trial and Error and Goal Seek to find out what is the lowest grade he needs on the Final Exam to pass the class? Which method worked best for you and why?
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A coin was flipped 69 times and came up heads 39 times. At the .10 level of significance, is the coin biased toward heads? (a-1) H0: ππ ≤ .50 versus H1: ππ > .50. Choose the appropriate decision rule at the .10 level of significance. Reject H0 if z > 1.282 Reject H0 if z < 1.282 a b (a-2) Calculate the test statistic. (Carry out all intermediate calculations to at least 4 decimal places. Round your answer to 3 decimal places.) Test statistic (a-3) The null hypothesis should be rejected. False True (a-4) The true proportion is greater than .50. False True (b-1) Find the p-value. (Round your answer to 4 decimal places.) p-value (b-2) Is the coin biased toward heads? No Yes
Q2 ANOVA The following side-by-side box plots show the prices (in thousands) of 48 houses in Corvallis, OR. The houses are divided into age categories: N = New (0-24 years old), M = Medium (25-50 years old), O = Old (50-75 years old), and VO = Very Old (75+ years old). Each category contains 12 randomly selected homes. House Price in Thousands 500- 400- 300 200- 100- Q2.1 M ó Age Category vo TRUE or FALSE: All categories contain at least one outlier. O True O False
USE THE 8-STEP HYPOTHESIS TESTING Refer to the study by Carter et al. [A-9], who investigated the effect of age at onset of bipolar disorder on the course of the illness. One of the variables studied was subjects' family history. Table 3.4.1 shows the frequency of a family history of mood disorders in the two groups of interest: early age at onset (18 years or younger) and later age at onset (later than 18 years). Family History of Mood Disorders Early ≤ 18(E) 28 19 41 53 Later > 18 (L) 35 38 44 60 141 Total 63 57 85 113 Negative (A) Bipolar disorder (B) Unipolar (C) Unipolar and bipolar (D) Total 177 318 Source: Tasha D. Carter, Emanuela Mundo, Sagar V. Parkh, and James L. Kennedy, "Early Age at Onset as a Risk Factor for Poor Outcome of Bipolar Disorder," Journal of Psychiatric Research, 37 (2003), 297-303. Can we conclude on the basis of these data that subjects 18 or younger differ from subjects older than 18 with respect to family histories of mood disorders? Let a = .05.

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