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7 Chapter Summary We began this chapter by introducing some basic concepts of experimental design. We saw that we carry out an experiment by setting the values of one or more factors before the values of the response variable are observed. The different values (or levels) of a factor are called treatments, and the purpose of most experiments is to compare and estimate the effects of the various treatments on the response variable. We saw that the different treatments are assigned to experimental units, and we discussed the completely randomized experimental design.
5 40 Verification of sales transaction 100% Not completed 50% Completed 0% Completed 4 3 1 0 Not completed Confirmation of accounts receivable Source: C. E. Brown and I. Solomon, “Conﬁgural Information Processing in Auditing: The Role of Domain-Speciﬁc Knowledge,” The Accounting Review 66, no. 1 (January 1991), p. 105 (Figure 1). Copyright © 1991 American Accounting Association. Used with permission. method is determined. 19. Completely analyze the data using randomized block ANOVA. 32 In an article in the Accounting Review (1991), Brown and Solomon study the effects of two factors—conﬁrmation of accounts receivable and veriﬁcation of sales transactions—on account misstatement risk by auditors.
27 A small builder of speculative homes builds three basic house designs and employs two foremen. 17 (the proﬁts are given in thousands of dollars). 16 presents the MINITAB output of a two-way ANOVA of the house proﬁtability data. 16. 05. Can we (separately) test for the signiﬁcance of house design and foreman effects? Explain why or why not. b Which house design/foreman combination gets the highest proﬁt? 390. Compute a 95 percent (individual) conﬁdence interval for mean proﬁt when the best house design/foreman combination is employed.
Business Statistics - 10 Experimental Design and Analysis of Variance VIEW