Suppose that you want to use the 10 year historical average return on IBM to forecast the expected future return on IBM.The 95% confidence interval for your estimate of the expect return is closest to:

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B) R_annual= 11ea7e5a_6e5b_6086_9a0a_9fde872679a9_TB1623_11 = 11ea7e5a_6e5b_8797_9a0a_25dc273cc1ec_TB1623_11 = 16.45% 11ea7e5a_6e5b_8798_9a0a_adee25f7340b_TB1623_00 Variance = SUM of (R - R)²/ (T - 1) = 0.9907165 / 9 = 0.1100796 Standard deviation = 11ea7e5a_6e5b_8799_9a0a_87d6db20e18b_TB1623_11 = 11ea7e5a_6e5b_879a_9a0a_69bc664c58be_TB1623_11 = 0.3317825 Standard error = Standard Deviation / 11ea7e5a_6e5b_aeab_9a0a_bd131cb80c9c_TB1623_11 = 0.3317825 / 11ea7e5a_6e5b_aeac_9a0a_61616fafb9b5_TB1623_11 = .1049 or 10.49% 95% Confidence Interval = mean return + or - 2 standard errors, so lower bound = .1645 - 2 × .1049= -0.045 upper bound = .1645 + 2 × .1049 = 0.374

Suppose That You Want to Use the 10 Year Historical