Experimental Design Preliminary Edition
Edition: 0
Copyright: 2026
Pages: 164
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$40.00 USD
Designing and analyzing experiments are critical elements in the study of statistics. If either piece is incomplete, the results are questionable. This text directs learners through the steps of designing a sound experiment and through several common, and some not so common, analytical techniques. This textbook explores the various parts of experiments, from populations and samples, to sampling methods, to potential biases. Then learners are presented with the fundamental one-factor analyses involving t-tests. After this foundational element, the textbook explores several types of analysis of variance (ANOVA) designs, including one and two-way ANOVA, factorial, and hierarchical designs. This textbook equips learners with knowledge and skills needed to design, analyze, and interpret all sorts of experiments on their own.
Dr. Angela Crumer currently teaches mathematics and statistics at Washburn University in Topeka, KS. Her focus is on quantitative reasoning and statistics courses. She has been involved in several efforts to make math more accessible for students, particularly underserved and underrepresented populations. Her current focus is finding ways to create a more equitable mathematics classroom and combat systems that perpetuate discrimination in education.
Angela received her Doctor of Philosophy in Psychology at Kansas State University. There she studied the effects of different statistical techniques on analyzing reaction time data. She also received her Master of Science in Statistics at Kansas State University where she compared the Weibull model to the Cox Proportional Hazard model. She received a Bachelor of Science in Applied Mathematics and Statistics and a Bachelor of Science in Secondary Math Education from Southeast Missouri State University.
Designing and analyzing experiments are critical elements in the study of statistics. If either piece is incomplete, the results are questionable. This text directs learners through the steps of designing a sound experiment and through several common, and some not so common, analytical techniques. This textbook explores the various parts of experiments, from populations and samples, to sampling methods, to potential biases. Then learners are presented with the fundamental one-factor analyses involving t-tests. After this foundational element, the textbook explores several types of analysis of variance (ANOVA) designs, including one and two-way ANOVA, factorial, and hierarchical designs. This textbook equips learners with knowledge and skills needed to design, analyze, and interpret all sorts of experiments on their own.
Dr. Angela Crumer currently teaches mathematics and statistics at Washburn University in Topeka, KS. Her focus is on quantitative reasoning and statistics courses. She has been involved in several efforts to make math more accessible for students, particularly underserved and underrepresented populations. Her current focus is finding ways to create a more equitable mathematics classroom and combat systems that perpetuate discrimination in education.
Angela received her Doctor of Philosophy in Psychology at Kansas State University. There she studied the effects of different statistical techniques on analyzing reaction time data. She also received her Master of Science in Statistics at Kansas State University where she compared the Weibull model to the Cox Proportional Hazard model. She received a Bachelor of Science in Applied Mathematics and Statistics and a Bachelor of Science in Secondary Math Education from Southeast Missouri State University.