Computer aided construction and analysis of augmented designs

Abstract

The present investigation develops a beta-version of Statistical Package for Augmented Design (SPAD). The package generates randomized layout of augmented designs and performs the analysis of data generated. For given number of test treatments (w), control treatments (u) and number of blocks (b), it computes the replication number of control treatment(s) in each block of the design such that the efficiency per observation of the test treatments vs control treatment(s) comparisons is maximum. The flexibility of choosing the replication number (r) of the control treatment(s) in each block is also provided. The randomized layout of the design is generated once the values of u, w, b are entered and r is chosen by the user. It also analyzes the data generated from the experiments conducted in augmented designs. A null hypothesis on any user-defined contrast can also be tested. The package is also very useful for classroom teaching as well as for the researchers in statistics with interest in experimental designs. The package has been developed using Microsoft Visual C++ 6.0.