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Explain whether the empirical evidence supports the claim that “investors are solely concerned with mean and variance”
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- Explain why the variance of an investment is a useful measure of the risk associated with it1. The old adage “time is money” comes into play here, too, as saving time is often tantamount to reducing costs. (10 sentences) 2. Downside of cost cutting or cost minimization (10 sentences) 3. What is Budget Vs. Actual? Why is it Important? What Causes the Variance? What is the implication of having a good variance-analysis in the company? (10 sentences)Suppose that a high school student is preparing to take the SAT exam. Explain why his or her eventual SAT score is properly viewed as a random variable.
- What is an issue with the linear probability model answered Select one: a. The model is not linear in the variables b. The model can predicts probabilities that that are negative c. The model is linear in the parameters d. it leads to an R-square thatis too highYou survey 5 members of a college class about how many hours they study each week: 12 hours, 18 hours, 7 hours, 3 hours, and 15 hours. The class has a total of 28 students. Based on the findings from the 5 students you interviewed, what is the standard deviation for the entire class? What is the range of hours you can expect students to study based on one standard deviation? (Hint: Think Normal Distribution Curve).You are modeling a qualitative variable that takes on two classes (classes 1 and 2). In trying to classify observation 11 (out of 20) you compute the conditional probability for class 1 as 0.51. How would you classify this observation?
- The application which provides a way of revising conditional probabilities by using available information and provisions for revising conditional probabilities with other information that is useful for management decision making is called? Select one: a. Bayes’ theorem. b. overinvolvement ratios. c. probability rules. d. empirical formula.(Ch 6) True or False? In a hotel, 50 percent of the guests pay by American Express credit card. Suppose the first X-1 guests use NON-American Express credit cards while the Xth guest is the first to use an American Express. Then X follows a geometric distribution. And P(X=2)=0.25.A law school is trying to gain a better understanding of the determinants of bar passage rates. Suppose that they the following facts were uncovered: 1. The probability with which a randomly selected graduate has received an A in Economic Foundations of Legal Studies (EFLS) is 0.3;2. The probability with which a randomly selected graduate has passed the bar exam is 0.81;3. The probability with which a randomly selected graduate has received an A in EFLS and has passed the bar exam is 0.27. Which of the following statements is true regarding the events X and Y, defined as follows: X = “a randomly selected graduate having received an A in EFLS”; andY = “a randomly selected student having passed the bar exam”? A) X and Y are independent events, and this can be verified by noting that P(X|Y) = 0.3.B) X and Y are not independent events, and this can be verified by noting that P(X|Y) = 0.3.C) X and Y are not independent events, and this can be verified by noting that P(X|Y) =.333.D) X and Y…
- What is sampling? Explain the differences between probability and nonprobability samples and identify the various typesof eachSuppose the large number of bike accidents in a small town results in new legislation that requires all citizens of the town to wear specialized bike helmets when riding. These new helmets reduce the probability of head trauma by 25% during a bike accident. While the new helmets the probability of a serious head injury resulting from a bike accident, they also incentivize cyclists to ride safely, which could the number of bike accidents and thus head injuries to cyclists.Suppose a country has 100 million inhabitants. The population can be divided into the employed, the unemployed, and the persons who are out of the labor force (OLF). In any given year, the transition probabilities among the various categories are given by Moving into: Employed Unemployed OLF Moving from: Employed Unemployed OLF 0.94 0.20 0.05 0.02 0.65 0.03 0.04 0.15 0.92 These transition probabilities are interpreted as follows. In any given year, 2 percent of the workers who are employed become unemployed; 20 percent of the workers who are unemployed find jobs, and so on. What will be the steady-state unemployment rate?