O Use the Bonferonni method for the tomato plant dataset of class notes and construct confidence intervals for all three irs, Hi-Hj, i +j, i,j = 1, 2, 3 with joint confidence of 94%. Using these make a decision as to which plants may have fferent average yields. ne following answers" have been proposed. O None of the three confidence intervals contain zero. Therefore, all three plants have, on average, significantly fferent yields. O All three confidence intervals contain zero. Therefore, all three plants have, on average, the same yield. O The confidence intervals for µ1 - 42 and u2 - 43 do not contain zero. The confidence interval for µj - 43 contains zero. nerefore, the result becomes a bit confusing to interpret. O The confidence intervals for u1 - 42 and µ - µ3 do not contain zero. The confidence interval for µ3 - 12 contains zero. herefore, u2 and µ3 may be equal, but µ1 differs from both 12 and 43.

O Use the Bonferonni method for the tomato plant dataset of class notes and construct confidence intervals for all three irs, Hi-Hj, i +j, i,j = 1, 2, 3 with joint confidence of 94%. Using these make a decision as to which plants may have fferent average yields. ne following answers" have been proposed. O None of the three confidence intervals contain zero. Therefore, all three plants have, on average, significantly fferent yields. O All three confidence intervals contain zero. Therefore, all three plants have, on average, the same yield. O The confidence intervals for µ1 - 42 and u2 - 43 do not contain zero. The confidence interval for µj - 43 contains zero. nerefore, the result becomes a bit confusing to interpret. O The confidence intervals for u1 - 42 and µ - µ3 do not contain zero. The confidence interval for µ3 - 12 contains zero. herefore, u2 and µ3 may be equal, but µ1 differs from both 12 and 43.