Experimental design is a statistical method used to observe the effects of independent variables on dependent variables, establishing cause and effect relationships. It includes principles such as randomization, replication, and blocking, and features various types of designs like randomized, quasi-experimental, and factorial designs. For more information, a link to a detailed resource is provided.

1. Experimental design

2. What is Experimental design
 Experimental design is a statistical method in which researcher
plans to observe effect of desired factors on response.
 Experimental designs are important for determining cause and
effect relationship between dependent variable and
independent variable.
 Experimental designs are developed for comparison or
screening out important variables or for obtaining optimal
responses or for optimal predictions.

3. Founder of Experimental designs

4. Experimental Designs Flowchart

5. Principles of Experimental
designs
 Randomization
 Replication
 Blocking

6. Types of Experimental
Designs
Randomized designs Quasi-experimental
designs
Pre-experimental
designs
Post-test Only Design Nonequivalent control
group designs
One shot case
design
Pretest-Post-test Only
Design
Time series design One group pretest
posttest design
Solomon Four Group
Design
Counterbalanced
designs
Factorial Design
Randomized Block
Design
Repeat Measures
Design

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