Errata Sheet for Design and Analysis of Experiments with SAS
last updated June 7, 2011
page 88: The equation at the bottom of Figure 3.10 should appear as below
page 89: The equation at the bottom of Figure 3.10 should appear as below
page 168: SAS output should appear as below
page 169: The SAS output should appear as below
page 170: The mean squares and resulting confidence interval is wrong on this page, it should appear as below
page 183: Equations in the last sentence of the second paragraph are wrong. The should appear as below.
page 184: The equation in the middle paragraph is wrong. It should appear as below
page 262 : The last three lines of the SAS output on the bottom of this page are incorrect, it should appear as below
page 354: In equation 9.3 and in the second line from the bottom of the page the second subscript on s should be k not j.
page 424: The model statement in the last block of SAS code on this page shoud be - model y=b1-b6 x1 x2 x3/covar=6; It is correct in the SAS code for Chapter 10 posted on this web site.
page 431: The 21st line of code on this page should be - Wp=6; A=0; B=2; It is correct in the SAS code for Chapter 10 posted on this web site.
page 440: The value of temperature on the second line of the table at the top of this page should be 387.5 not 287.5. It is correct in the data sets for exercises posted on this web page.
page 472: In the footnotes to Table 11.6, C=(1.0-A-B) rather than C=(A+B/2.
page 477: Equation 11.25 is incorrect is should be
page 478: Equation 11.26 is incorrect and should be
page 492: Exercise 6 part (b) should be: Fit the model in Equation (11.9) not (11.21)
page 494: Exercise 8 second line U=0.5 rather than U=0.8.
page 507: The model statement was left out in the SAS commands given on this page. The commands should appear as
page 552: Exercise 6 part (d) "Modify the SAS macro in the appendix to simultaneously estimate the location-dispersion effect using the method of iterative weighted least squares" Note: there is no macro in the appendix to Chapter 12. This questions should read, "Modify the proc mixed example in Section 12.6.1 to simultaneously estimate the variance of the residuals at each level of the dispersion factor, and compute the weighte least squares estimates of control and adjustment factor effects.