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CHAPTER 12 AUGMENTED DESIGNS AND CANNED PROGRAMS The following problems are incorporated in this chapter: 12a Augmented designs 12b Augmented randomized complete block design 12c Augmented factorial designs 12d Spreadsheets and SAS 12e Canned programs Toward the end of any statistics class, we begin to think about the cost of doing all this analysis! Can we save money without so much data-collecting? Can we save precious time by using someone elses canned program? Many experiments provide answers that require no replication. In my studies, some tree species or provenances (varieties) simply die in Hawaii; no need for LSDs on that! We look for experimental designs that check out this type of lousy expectation with minimal replication and sampling. Augmented designs (12a) provide a welcome solution to this problem. Augmentation is simply enlargement. An augmented design is enlarged by inclusion of additional entries or treatments, normally without complete replication of these entries. The replicated entries are referred to as tr, and the unreplicated as tu. The tu entries are in effect to be compared in performance with the tr entries occurring in the same block. Adjustments of the tu entry data are thus made to the averages of tr entries in the appropriate blocks. These versatile agumented designs deserve much wider use than they have had in the past. In the field, they can result in immense savings of money and time, often with minimal loss of information. Extensionof the augmented concept to factorial designs (2c) is increasingly common. SAS (SAS Institute, Box 8000, Cary, NC 27511) is one of the best canned programs available commercially for treatment of designed experiments (12d). SAS has an extensive and versatile set of canned programs that can address most our your queries. I stress that the experimental biologist must first know enough statistics to lay out an intelligent experiment. Once data are taken, you may be willing to let someone elses program analyze them for you. However, if you are clever enough to design a very good experiment, you are probably clever enough to carry through its analysis on spreadsheets. Then you can try out any approach you wish, graph at will, test out random or oddball numbers anytime, and print out only what you need. Spreadsheets can be your entr¤e to many types of canned statistical programs (12e), and several are discussed here with their useful websites. Data from spreadsheet can be transferred to such programs for analysis, and this may result in savings on time, money, and your good humor. t of doing all this ve precious time by tudies, some tree on that! We look for imal replication and d by inclusion of ese entries. The ntries are in effect to be djustments of the tu y have had in the past. In minimal loss of s increasingly common. ned programs has an extensive and stress that the gent experiment. Once hem for you. However, ly clever enough to oach you wish, graph at programs (12e), and eet can be transferred to and your good humor.
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