Description :

"Data Analysis in Experimental Research" is a comprehensive guide explaining the steps involved in analyzing experimental data. This book explores data analysis techniques using variance, both manually and with the aid of software. Through manual calculations, readers are encouraged to understand the sources of calculation results, enabling them to interpret the numbers obtained from an experiment.
This book reviews various experimental research methods, including the full factorial method with one-factor, two-factor, and more than three-factor analysis. Detailed explanations of these analyses help researchers understand the complexity and interrelationships between the various variables in an experiment.
Furthermore, this book outlines the basic theories supporting experimental data analysis. These theories include the concepts of population, sample, variance, standard deviation, and other essential concepts in data analysis. With a systematic and easy-to-follow approach, readers are guided through the steps involved in analyzing experimental data.
"Data Analysis in Experimental Research" not only provides technical knowledge but also fosters a deeper understanding of the data analysis process. This book is an invaluable resource for researchers, students, and practitioners seeking to improve their data analysis skills in experimental research.