Researchers compared earnings forecasts of buy-side and sell-side financial analysts. Data were collected on 6,416 forecasts made by buy-side analysts and 47,825 forecasts made by sell-side analysts, and the relative absolute forecast error was determined for each. The mean and standard deviation of forecasts errors for both types of analysts are given in the accompanying table. Complete parts a through c below. Click the icon to view the table of summary statistics. a. Construct a 99% confidence interval for the difference between the mean forecast error of buy-side analysts and the mean forecast error of sell-side analysts. The 99% confidence interval is ( (Round to two decimal places as needed.) an e Table of summary statistics Sample Size Mean Standard Deviation Print Buy-Side Analysts 6,416 0.88 1.36 Sell-Side Analysts 47,825 -0.14 0.82 Done - X Clear all Check answer

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