To accurately infer cause and effect,experimenters should use

A) random assignment.
B) naturalistic observation.
C) case studies.
D) correlation coefficients.

Random assignment is the best choice for accurately inferring cause and effect because it helps to control for confounding variables and ensures that participants have an equal chance of being in each group, making it more likely that any observed differences between the groups are due to the variable being manipulated in the experiment. Naturalistic observation and case studies are not effective for inferring cause and effect because they do not involve manipulating variables and may not control for confounding variables. Correlation coefficients only show the strength and direction of a relationship between two variables and do not imply causation.