Which phases should be carried out by the analyst before the probabilities are quantified? A. Motivating. B. Structuring. C. Conditioning. D. Direct assessment.
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8. Which phases should be carried out by the analyst before the probabilities are quantified?
A. Motivating.
B. Structuring.
C. Conditioning.
D. Direct assessment.
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- The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker summary scores were computed by calculating a weighted average of the scores provided by each respondent. Suppose a portion of the survey results follow. Brokerage Speed Satisfaction A 3.4 3.5 B 3.3 3.2 C 3.4 3.9 D 3.6 3.8 E 3.2 2.9 F 3.8 2.8 G 3.8 3.6 H 2.6 2.7 I 2.7 2.3 J 4.0 4.0 K 2.5 2.5 These ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.255 + 0.892x. At the 0.05 level of…7t11
- Using historical data, a hedge fund manager designs a test of whether abnormal returns are positive on average. The test results in a p-value of 3%. The manager can most appropriately: A. reject the hypothesis that abnormal returns are less than or equal to zero, using a 1% significance level. B. reject the hypothesis that abnormal returns are less than or equal to zero, using a 5% significance level. C. conclude that the strategy produces positive abnormal returns on average, using a 5% significance level.Elements of Statistical Inference Researchers are interested in whether giving individuals temporary financial incentives can induce them to exercise more and lead to the creation of long-lasting habits. To study this question, researchers placed 118 participants into two randomly assigned groups: treatment and control. The treatment group will get a financial incentive to attend the gym more often and the control group will not and then they will compare a variety of outcomes across groups at the end of the experiment. The dummy variable treatment will keep track of which participants are in which group and takes the value of 1 if the individual is in the treatment group and 0 otherwise. If treatment is truly randomly assigned, we shouldn't expect systematic differences across groups in predetermined characteristics. However, it is good research practice to show that the characteristics of each group look 'balanced' and consistent with random assignment. For instance, we might…2. To have a better understanding of her students, a lecturer gives out a questionnaire at the beginning of the semester. Attached are some questions extracted from the questionnaire. My programme of study is My current CGPA is My expected grade for this course is A or A- B+ or B or B- C+ or C C- or worst (a) Is the variable programme of study categorical or quantitative? If it is quantitative, state further if it is discrete or continuous. (b) Is the variable current CGPA categorical or quantitative? If it is quantitative, state further if it is discrete or continuous. (c) Is the variable expected grade categorical or quantitative? If it is quantitative, state further if it is discrete or continuous. (d) Help the lecturer to design a question that corresponds to a discrete quantitative vari- able. (e) Name an appropriate graphical summary for the variable expected grade and give your answer of your expected grade.
- What predictive model should be used for "Trust" and please explain why you choose that model?The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker summary scores were computed by calculating a weighted average of the scores provided by each respondent. Suppose a portion of the survey results follow. Brokerage Speed Satisfaction A 3.4 3.5 B 3.3 3.5 C 3.4 3.9 D 3.6 3.6 E 3.2 2.9 F 3.8 2.8 G 3.8 3.6 H 2.6 2.6 I 2.7 2.3 J 4.0 4.0 K 2.5 2.5 These ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.243 + 0.896x. At the 0.05 level of…You have inherited a lottery ticket which might be a $10,000 winner. You have a 0.25 chance of winning the $10,000 and a 0.75 chance of winning $0. You have an opportunity to sell the lottery ticket for $2,500 - What is your expected return and what should you do if are risk averse?
- Practice not gradedA manager is building a simulation model to project future profits. A simulation model template is setup for the task. Simulated Revenue ? Simulated Simulated Material Cost ? Labor Profit Cost ? ? Question 1. She believes that the future revenue will be either $12M, $13M, or $14.5M depending on the future demand being low, medium, or high, respectively. According to her market analysis, the future demand will be low, medium, or high with a probability of 0.3, 0.5, and 0.2, respectively. What is the appropriate @Risk function, including its arguments, that reflects her belief about future revenue?Ultimate Gaming is trying to figure out which game they should release next quarter among four possible games. There is uncertainty when it comes to projecting profitability since it depends on the state of the gaming market 6 months in the future. A profit estimate is provided for good v. bad gaming market for the four possible games. UG estimates that the market will be good with a 65% chance. Alternatives| Bad Market | Good Market Game 1. 4.1 5.8 Game 2 2.5 7.1 Game 3 5.4 4.9 Game 4 4.5 5.3 UG believes that a game turning into a blockbuster is related to pre-release marketing events. Each event results in a success (blockbuster) or a loss (regular profitbility). UG has 6 marketing events and believes there is a 15% chance of success and having a block buster. What are the chances that exactly 2 of the events will result in a blockbuster? What…
