4) What exponential smoothing constant is associated with a naïve forecast? What moving average span is associated with a naïve forecast?
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A: Given that: Method of Moments estimator, in mathematical statistics:
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A: Empirical rule: According to empirical rule, approximately 99.7% of data lies within three standard…
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A: When the mean time between failures (MTTR) approaches zero, what happens to availability.
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A: An efficient estimator estimates the quantity of the interest in the most feasible efficient way.…
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A: Referring to Scenario 13-11, what is the standard deviation around the regression line=44.4765
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A: Answer is in step 2.
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A: Prooving That experimental research is more accurate, and reliable
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A: according our company policy we can answer only first three subparts and rest can we posted
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- Lazlo Gali, a quality analyst for Blue Sky Airlines, is developing a simulation model to analyze the impact of changes to the company's operating policies on performance. Currently, Lazlo believes the time (hours) to clean and service an aircraft after a flight follows a shifted exponential distribution with mean time 55.3370269766431 (hours) and a shortest possible time of 19.39 (hours). Find the minimum time (hours) to clean and service an aircraft after a flight at 0.66 confidence:Are unbiased forecasts necessarily efficient? Can you suggest a way of testing efficiency given time series data on forecasts and actuals?Some financial theoreticians believe that the stock market’s daily prices constitute a “random walk with positive drift”. If this is accurate, then the Dow Jones Industrial average should show a gain on more than 50 percent of all trading days. If the average increased on 101 of 175 randomly chosen days, what do you think about the suggested theory? use a 0.01 level of significance.
- When the mean time between failures (MTTR) approaches zero, what happens to availability? Is this a situation that can be portrayed in any way that's akin to reality?Suppose that 3000 drivers in Wakanda were randomly breath-tested on 21 April 2019 and 116 were above the limit of 0.05 blood- alcohol level. On 15 May 2019, 4000 drivers were tested and 98 were above this level. 1.3.1 What additional information would you require before trying to draw conclusion from these data? (5) 1.3.2 What factors, other than a real change in driver behaviours, could cause such a drop in the proportion of above-the-limit drivers. (6) 1.4 A set of data has an interquartile range of 20 and a lower quartile of 6. If the data is symmetrical, calculate the value of the median.The fitted line that results from regressions of the Single Index Model is called:a. The security specific line.b. The security characteristic line.c. The single index line.d. The security market line.
- What do you mean by the impact multiplier or impact propensity? How is it different from the long-run propensity (LRP)? Discuss with an appropriate example of the distributive lag model.Along with interest rates, life expectancy is a component in pricing financial annuities. Suppose that you know that last year average life expectancy was 77 years for your annuity holders. Now you want to know if your clients this year have a longer life expectancy, on average, so you randomly sample n=20 of your recently deceased annuity holders to see actual age at death. Using a 5% level of significance, test whether or not the new data shows evidence of your annuity holders now live longer than 77 years, on average. The data below are the sample data (in years of life): (78,75,83,81,81,77,78,79,79,81,76,79,77,76,79,81,73,74,78,79) Does this sample indicate that life expectancy has increased? Test an appropriate hypothesis and state your conclusion (use a 5% level of significance). Be sure to check the necessary assumptions and conditions before conducting your test. Construct A 90% confidence interval for the true average age of death for the…6. Referring to Scenario 13-11, what is the critical value for testing whether there is a linear relationship between revenue and the number of downloads at a 5% level of significance?
- (answer to question B please don’t say .134 not correct) Branch banks must keep enough money on hand to satisfy customers' cash demands. Suppose the daily demand for cash at a branch of University Bank follows a lognormal distribution with means and standard deviation summarized as follows (in $1,000s). Monday Tuesday Wednesday Thursday Friday Saturday Sunday Мean $175 $120 $90 $60 $120 $140 $65 Std Dev $ 26 $ 18 $13 $ 9 $ 18 $21 $ 9 An armored truck delivers cash to this bank once a week. The manager of the bank can order any amount of cash she desires for this delivery. Of course, running out of cash in any week is very undesirable as customers of the bank expect to be able to withdraw their deposits on demand. Keeping excessive cash reserves would guard against this situation, However, cash is a noninterest earning asset, so there is an opportunity cost for holding excess cash reserves. a. Suppose the bank manager follows the practice of ordering enough cash to start each week with…Ten days of data on the S&P Dynamic Futures Index are as follows: 3.1) Construct a time series plot. What type of pattern exists in the data? 3.2) Use trial and error to find a value of the exponential smoothing coefficient that results in a relatively small MAE. You should try at least 5 values before making any conclusions.
