Independent random samples from normal distributions with equal variance of the amount of insider
trading during mergers by employees of investment banking firms (1) and brokerage houses (2) gave the
results listed in the accompanying table.
Investment Banking Firm 10 5 5 5 8 8 8
Brokerage House 6 0 5 2 2 3 3
(a) Find the 95% confidence interval estimate for the difference between means µ1 − µ2..
(b) Would you conclude that employees of Investment banking firms cause more insider trading than
their counterparts in Brokerage House?
"n_1=7\\\\n_2=7\\\\\\bar{x}_1=\\frac{10+5+5+5+8+8+8}{7}=7\\\\\\bar{x}_2=\\frac{6+0+5+2+2+3+3}{7}=3\\\\{s_1}^2=\\frac{\\left( 10-7 \\right) ^2+3\\cdot \\left( 5-7 \\right) ^2+3\\cdot \\left( 8-7 \\right) ^2}{7-1}=4\\\\{s_2}^2=\\frac{\\left( 6-3 \\right) ^2+\\left( 0-3 \\right) ^2+\\left( 5-3 \\right) ^2+2\\cdot \\left( 2-3 \\right) ^2+2\\cdot \\left( 3-3 \\right) ^2}{7-1}=4\\\\s^2=\\frac{\\left( n_1-1 \\right) {s_1}^2+\\left( n_2-1 \\right) {s_2}^2}{n_1+n_2-2}=\\frac{\\left( 7-1 \\right) \\cdot 4+\\left( 7-1 \\right) \\cdot 4}{7+7-2}=4\\\\Confidence\\,\\,interval\\\\\\left( \\bar{x}_1-\\bar{x}_2-\\sqrt{s^2\\left( \\frac{1}{n_1}+\\frac{1}{n_2} \\right)}t_{\\frac{1+\\gamma}{2},n_1+n_2-2},\\bar{x}_1-\\bar{x}_2+\\sqrt{s^2\\left( \\frac{1}{n_1}+\\frac{1}{n_2} \\right)}t_{\\frac{1+\\gamma}{2},n_1+n_2-2} \\right) =\\\\=\\left( 7-3-\\sqrt{4\\left( \\frac{1}{7}+\\frac{1}{7} \\right)}\\cdot 2.1788,7-3+\\sqrt{4\\left( \\frac{1}{7}+\\frac{1}{7} \\right)}\\cdot 2.1788 \\right) =\\\\=\\left( 1.67076,6.32924 \\right)"
I can conclude that employees of Investment banking firms cause more insider trading than their counterparts in Brokerage House
Comments
Leave a comment