Understanding Science
Unknown
Guide to the scientific process with emphasis on testing and control groups.
More resources on Control Groups
Seeing Theory
Interactive tool for understanding randomization and experimental design concepts.
NIST/SEMATECH e-Handbook of Statistical Methods
Detailed handbook on statistical methods for experiments including control and design.
Designing Studies
Learn how to design effective studies with control groups! Created by Sal Khan and team.
sciencebuddies.org
Science Buddies is a nonprofit resource offering free, student-friendly science project ideas and hands-on experiment guides. It features topic ideas across science disciplines, printable planning sheets, materials lists, and tutorials on designing and analyzing experiments (including the use of controls) for science fairs.
Experimental Design Basics
This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively. All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments. You will learn how to plan, conduct and analyze experiments efficiently in this course.
explorable.com
Explorable.com is a practical learning resource that offers step-by-step guides on research methods, statistics, and data analysis. Its content includes tutorials on experimental design, control groups, sampling, and hypothesis testing with real-world examples.