Single-Factor Experimental Design

Dharmaraja Selvamuthu () and Dipayan Das
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Dharmaraja Selvamuthu: Indian Institute of Technology Delhi, Department of Mathematics
Dipayan Das: Indian Institute of Technology Delhi, Department of Textile Technology

Chapter Chapter 7 in Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control, 2018, pp 223-264 from Springer

Abstract: Abstract Often, we wish to investigate the effect of a factorFactor (independent variable) on a responseResponse (dependent variable). We then carry out an experiment where the levels of the factor are varied. Such experiments are known as single-factor experimentExperimentsingle factor. There are many designs available to carry out such experiment. The most popular ones are completely randomized design, randomized block design, Latin square design, and balanced incomplete block design. In this chapter, we will discuss these four designs along with the statistical analysis of the data obtained by following such designs of experiments.

Date: 2018
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DOI: 10.1007/978-981-13-1736-1_7

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