Key Elements of Experiment Design

There are a few key factors to consider when designing and identifying good experiments. 

Control: Experiments can get complicated very quickly. That's because there are so many variables to consider! Control means the researcher has done their due diligence to control the effects of all the different variables in the study. The goal is to isolate the single variable in question.

Replication: Replication refers to the practice of testing the experiment on a large enough sample from the population. In general, the larger the sample size, the more accurate the results of the experiment are for the population.

Randomization: Just like it was important in surveys to gather a random sample from the population (through methods like SRS, stratified sampling, cluster sampling etc.), it's also equally important in experiment design. 

We'll talk more about the features of good experiment design more in the upcoming lessons.