The goal of random assignment experiments are more critical due to the goal of f

The goal of random assignment experiments are more critical due to the goal of f

The goal of random assignment experiments are more critical due to the goal of finding the cause-and-effect relationships. When conducting an experiment with multiple groups, it has been seen to be more beneficial to the study, if participants are placed into their conditions by chance and random, which is the technique of random assignment. Random assignment seems to produce the strongest experimental studies for causation findings. In an experiment using random assignment, participants are usually placed into either a control or treatment group at random. Each group needs to have a population that is representative to all, to ensure the reliability of the information taken from the study. Larger sample sizes are preferred and needed when using multiple groups in an experiment, but this can be difficult to do with cost or how many individuals volunteer. Smaller sample sizes increase the likeliness that you can miss an effect or causation in the population given.
If the effect between smoking cigarettes and stamina were to be looked at, random assignment would be the strongest technique. Scientists would randomly assign participants into two groups, one group where they smoke cigarettes and another group were no smoking is involved, or the control group. They would examine how long both of these groups can last on a treadmill at the same speed. The population of this experiment would need to represent our societies general population. It may be hard to find cigarette smokers of all ethnicities, ages, and genders to represent the experimental group. There for with a low sample size, scientists may not get clear causation relationships or may miss errors that arises.