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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Using the table below creating a 3-year and 4-year moving average and predict sales for 2008. Find the mean absolute deviation (MAD) for both the 3 and 4 year moving averages.( MAD= Error Year 2001 2002 2003 2004 2005 2006 2007 2008 n Sales 2030 2155 2382 2412 2606 2892 3018 3-Year Moving Average MAD 3-Year Moving Average MAD 4-Year Moving Average Absolute Error 3-year Moving Average 4-Year Moving Average Absolute Error 4-Year Moving Average
Statistica forecasting
Maxwell’s hot chocolate is concerned about the effect of the year-long coffee advertising campaign on the chocolate sales. The weekly hot chocolate sales from 15 locations (in this year) is collected and summarized in the following table. Descriptive Statistics N Sum Range Minimum Maximum Mean Std. Deviation Variance Sales 15 --- --- 20 197 24.80 3.53 12.46a) Calculate the missing values in the table (Sum and Range)b) The average sales was $26.6 last year and the manager of the firm claim that there is a decrease in the sales this year. Does the data provide sufficient evidence to support the claim of the manager at 1% significance level? Show your calculations in detail and interpret the result.
Test the claim that there is correlation between CPI and Cost of Pizza with ? = 0.05. CPI 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza 0.15 0.35 1.00 1.25 1.75 2.00
Solve the following Make in-house or outsource decision model using Monte Carlo Simulation of Data Table. The production level has to be set equal to demand. Demand is assumed to follow a normal distribution of mean = 1200 and a standard deviation of 175. Make 1000 trials to simulate demand to find out the approximate probability to meet the demand through outsourcing,DataManufactured in-houseFixed cost$50,000Unit variable cost$135 Purchased from supplierUnit cost$180 Production volume Model Total manufacturing costTotal purchased cost Cost differenceDecision (Production/ Outsourcing)
15 see picture to solve
Calculate the mean-reverting level for changes in the company’s sales growth rate. (Give your answer in decimals).
Summary data Fall semester Spring semester 27 72.4 Number of students 26 69.7 11 Mean final exam score Standard deviation final exam 9.1 Score
IQ tests supposedly measure our intelligence. They typically are ‘normed’ so that they have a mean of 100 and a standard deviation of 15. (Higher scores show higher intelligence.) Use the graph and use the z-score and percents from columns b and c in Table A, when relevant. If you scored 132, what is your z-score? (Interpret.) Use table A X, z(a), (b), and (c) X z (a) (b) (c) and use the graph! Write down or save your response to use in Part 2 of this quiz. Group of answer choices -2.53 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. 2.13 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. -2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 0.57 percentile rank and 99.43% of people scored smarter than me. 2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 99.43 percentile rank…
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…
Section 05.04 Exercise 04 - Find Confidence Interval from Data (Mean Octane) Five measurements are taken of the octane rating for a particular type of gasoline. The results (in %) are 87.0, 86.0, 86.5, 93.0, and 85.3. Find a 99% confidence interval for the mean octane rating for this type of gasoline. The confidence interval for the mean octane rating for this type of gasoline is ). (Please enter the answers in ascending order.)
Data Set 37, “Cola, Weights and Volumes” in Appendix B includes volumes (ounces) of a sample ofcans of regular Coke. The summary statistics are n = 36, ? = 12.19??, ??? ? = 0.11 oz. Use a 0.05significance level to test the claim that cans of Coke have a mean volume of 12.00 ounces. Does it appearthat consumers are being cheated? 1 Calculator Justification 2 **Label where your Test Statistic falls on the bell curve 3 Decision and Conclusion

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