Performance in Forecasting Quarterly Earnings per ShareThe folNumber ofMean Forecast ErrorStandard DeviationsForecasts(Predicted –Actual)of Forecast Errors1010.05Analyst A0.101210.02Analyst B0.09, Investment analysts often use earnings per share (EPS) forecasts. One test of forecastinguelity is the zero-mean test, which states that optimal forecasts should have a meanPredicted value of variable - Actual value offorecasting error of 0. (Forecasting error =variable.)You have collected data (shown in the table above) for two analysts who cover twodifferent industries: Analyst A covers the telecom industry; Analyst B coversautomotive parts and suppliers.A. With u as the population mean forecasting error, formulate null and alternativehypotheses for a zero-mean test of forecasting quality.B. For Analyst A, using both a t-test and a z-test, determine whether to reject the nulat the 0.05 and 0.01 levels of significance.C. For Analyst B, using both a t-test and a z-test, determine whether to reject the nullat the 0.05 and 0.01 levels of significance.

Given Number of forecast s mean forecast error standard deviations of error Analyst A 101…

Answered: Performance in Forecasting Quarterly…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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conclusion? A. Determining the relationship between alcohol use disorder and alcohol dependence in ASEAN countries. B. Determining if there is a significant difference between alcohol use disorder and alcohol dependence in ASEAN countries.
Pax World Balanced is a highly respected, socially responsible mutual fund of stocks and bonds. Vanguard Balanced Index is another highly regarded fund that represents the entire U.S. stock and bond market (an index fund). The mean and standard deviation of annualized percent returns are shown below. The annualized mean and standard deviation are for a recent 10-years period.†. If x represents return and s represents risk, then explain why the coefficient of variation can be taken to represent risk per unit of return. From this point of view, which fund appears to be better? Explain. A. Since the CV is s/s2 we can say that the CV represents the risk per unit of return; the Pax fund appears to be better because the CV is smaller. B. Since the CV is s/s2 we can say that the CV represents the risk per unit of return; the Vanguard fund appears to be better because the CV is smaller. C. Since the CV is s/x we can say that the CV represents the risk per unit of return; the Pax fund…
investigation hypothesises that cholesterol levels in children may be affected by educating parents on proper nutrition and exercise. The sample size is 40 families child aged 10-15 years old with high cholesterol. Children mean cholesterol is 175 stand deviation 19.5 is there significant evidenceo of a relation in total cholesterol/ null value is 191 cholestrol
In multiple regression analysis, the mean square regression divided by mean square error yields the ___________ a. Standard error B. F statistic c. R square d. t statistic
A statistical program is recommended. A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 13 units in the first year to 77 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total YearlySales 1 5 2 1 5 13 2 7 4 4 14 29 3 11 3 5 16 35 4 12 9 7 22 50 5 19 10 13 35 77 (a) Deseasonalize the data. (Round your answers to four decimal places.) Year Quarter Sales Adjusted Deseasonalized Seasonal Sales Index 1 1 5 1.3407 1 2 2 0.5998 1 3 1 0.4842 1 4 5 1.5753 2 1 7 1.3407 2 2 4 0.5998 2 3 4 0.4842 2 4 14 1.5753 3 1 11 1.3407 3 2 3 0.5998 3 3 5 0.4842 3 4 16 1.5753 4 1 12 1.3407 4 2 9 0.5998 4 3 7 0.4842 4 4 22 1.5753 5 1 19 1.3407 5 2 10 0.5998 5 3…
A statistical program is recommended. A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 13 units in the first year to 77 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total YearlySales 1 5 2 1 5 13 2 6 4 4 14 28 3 11 3 5 16 35 4 12 9 7 22 50 5 19 10 13 35 77 (a) Use the following dummy variables to develop an estimated regression equation to account for any seasonal and linear trend effects in the data: x1 = 1 if quarter 1, 0 otherwise; x2 = 1 if quarter 2, 0 otherwise; and x3 = 1 if quarter 3, 0 otherwise. (Let t = 1 denote the time series value in quarter 1 of year 1; t = 2 denote the time series value in quarter 2 of year 1; and t = 20 denote the time series value in quarter 4 of year 5. Round your numerical values to two decimal places.) t =…
carefully weigh the data before casting your vote. As you review the data, you ask yourself, Assuming both teams handled roughly the same number of customers, which chart impresses me more? Which team is the most consistent? Which team, over time, has better average scores? Growing scores? Declining scores? What does the Descriptive Statistics ToolPak tell me about the data? Which team is showing improvement? Can I estimate (or visually predict using the best fit line) which team will have better future performance? If so, which team? How do I know? …and, for whom should I vote?
Statistica forecasting
Approximate the measures of center for following GFDT. Data Frequency 40 - 44 13 45 - 49 18 50 - 54 12 55 - 59 60 - 64 2 Report mode and median accurate to one decimal place. Report the mean accurate to two decimal places (or enter as a fraction). (a) mode = %3D (b) median = (c) mean
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A statistical program is recommended. A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 12 units in the first year to 76 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 2 3 4 5 4 7 11 12 18 2 4 forecast for quarter 2 forecast for quarter 3 forecast for quarter 4 3 9 10 1 4 5 7 13 5 14 16 22 35 Total Yearly Sales 12 29 35 50 76 (a) Use the following dummy variables to develop an estimated regression equation to account for any seasonal and linear trend effects in the data: x₁ = 1 if quarter 1, 0 otherwise; x₂ = 1 if quarter 2, 0 otherwise; and x3 = 1 if quarter 3, 0 otherwise. (Let t = 1 denote the time series value in quarter 1 of year 1; t = 2 denote the time series value in quarter 2 of year 1; ... and t = 20 denote the time series value in quarter 4 of year 5. Round…

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