21 How many observations should a stopwatch time-study analyst plan for in a task that has a standard deviation of 1.50 minutes per piece if the goal is to estimate the mean time per piece to within 0.2 minute with a confidence of 99.0 percent? (Round the intermediate calculations to 2 decimal places. Round the final answer to the next whole number.) Observations
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- Consider the following time series data: Construct a time series plot. What type of pattern exists in the data? Develop a three-week moving average for this time series. Compute MSE and a forecast for week 8. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 8. Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE? Use trial and error to find a value of the exponential smoothing coefficient α that results in a smaller MSE than what you calculated for α = 0.2.Consider the following time series data: Construct a time series plot. What type of pattern exists in the data? Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE? Explain. Use trial and error to find a value of the exponential smoothing coefficient α that results in a smaller MSE than what you calculated for α = 0.2.Fast pls solve this question correctly in 5 min pls I will give u like for sure Surbh A: Calculate the arithmetic average return. B: Calculate the geometric average return C: Calculate the sample variance for the returns D: Calculate the sample standard deviation for the returns Round to 4 decimal places.
- Fast pls solve this question correctly in 5 min pls I will give u like for sure Surbh Identify at least one potential problem with trend analysis and one potential problem with comparative analysis.Consider the following time series: a. Construct a time series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern? b. Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year.Consider the following time series data: Construct a time series plot. What type of pattern exists in the data? Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2. 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. Compute the quarterly forecasts for next year based on the model you developed in part (b). Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t = 1 for quarter 1 in year 1, t = 2 for quarter 2 in year 1, … t = 12 for quarter 4 in year 3. Compute the quarterly forecasts for next year based on the model you developed in part (d). Is the model you developed in part (b) or the model you developed in part (d) more effective? Justify your answer.
- Show your work (use of formula, etc.) in solving the problem. Provide your answer/solution in the answer space provided below. Answer the question: Given the following historical returns, calculate the average return and the standard deviation: Year Return 1 14% 2 10% 3 15% 4 11%Fast pls solve this question correctly in 5 min pls I will give u like for sure SvtrikConsider a proposed ultrasound inspection device for which the optimistic, and most likely, pessimistic estimates are given in Table 11-1. The MARR is 8% per year. Also shown at the end of Table are the AWs for all three estimation conditions. Based on this information, analyze the combined effects of uncertainty in the factors on the AW value.
- Need typed answer only.Please give answer within 45 minutesNeed answer of each question minimum 100 words to 150 words Hpow is it possible to measure the risk and consider the trade off risk return? (Time value of money)Assume you are risk-averse and have the following three choices. Standard Deviation Project A B C Expected Value $ 2,520 2,930 2,480 $ 1,420 1,050 1,040 a. Compute the coefficient of variation for each. Note: Round your answers to 3 decimal places. Project A B C Coefficient of Variation b. Which project will you select? O Project C O Project A O Project B