\u003cp\u003e\u003cb\u003eCovers experiment planning, execution, analysis, and reporting\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThis single-source resource guides readers in planning and conducting credible experiments for engineering, science, industrial processes, agriculture, and business. The text takes experimenters all the way through conducting a high-impact experiment, from initial conception, through execution of the experiment, to a defensible final report. It prepares the reader to anticipate the choices faced during each stage. \u003c/p\u003e \u003cp\u003eFilled with real-world examples from engineering science and industry, \u003ci\u003ePlanning and Executing Credible Experiments: A Guidebook for Engineering, Science, Industrial Processes, Agriculture, and Business\u003c/i\u003e offers chapters that challenge experimenters at each stage of planning and execution and emphasizes uncertainty analysis as a design tool in addition to its role for reporting results. Tested over decades at Stanford University and internationally, the text employs two powerful, free, open-source software tools: GOSSET to optimize experiment design, and R for statistical computing and graphics. A website accompanies the text, providing additional resources and software downloads.\u003c/p\u003e \u003cul\u003e \u003cli\u003eA comprehensive guide to experiment planning, execution, and analysis\u003c/li\u003e \u003cli\u003eLeads from initial conception, through the experiment\u0026rsquo;s launch, to final report\u003c/li\u003e \u003cli\u003ePrepares the reader to anticipate the choices faced throughout an experiment\u003c/li\u003e \u003cli\u003eHones the motivating question\u003c/li\u003e \u003cli\u003eEmploys principles and techniques from Design of Experiments (DoE)\u003c/li\u003e \u003cli\u003eSelects experiment designs to obtain the most information from fewer experimental runs\u003c/li\u003e \u003cli\u003eOffers chapters that propose questions that an experimenter will need to ask and answer during each stage of planning and execution\u003c/li\u003e \u003cli\u003eDemonstrates how uncertainty analysis guides and strengthens each stage\u003c/li\u003e \u003cli\u003eIncludes examples from real-life industrial experiments\u003c/li\u003e \u003cli\u003eAccompanied by a website hosting open-source software\u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003ci\u003ePlanning and Executing Credible Experiments\u003c/i\u003e is an excellent resource for graduates and senior undergraduates--as well as professionals--across a wide variety of engineering disciplines. \u003c/p\u003e
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