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When an experiment shows that two experiment's are closely related the experiment's shows what?
Correlation
When an experiment shows that two variable are closely related the experiment?
correlation
When an experiment shows that two variable are closing related the experiment shows?
correlation
When an experiment shows that two variables are closely related the experiment shows blank?
correlation.
When an experiment shows that two variable are closely related that experiment shows?
that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.
When an experiment sHow is that two variable are closely related the experiment shows?
coorelation
When an experiment showes that two variable are closely related the experiment shows?
correlation
When an experiment shows that two variable are related the experience shows?
correlation
The goal of the scientist is to design an experiment that will be able to distinguish the difference between?
Correlation and causation.
When an experiment shows that two variable are closely related what does the experiment show?
The experiment shows that there is a correlation between the two variables, meaning that as one variable changes, the other variable changes in a consistent way. However, it does not necessarily establish a cause-and-effect relationship between the variables. Further analysis is needed to determine causation.
What is the difference between correlation and experiment?
An experiment is when the researcher manipulates the independent variable and records its effect on the dependent variable whilst maintaining strict control over any extraneous variables. A correlation is a statistical relationship between two or more variables. The researcher makes a change in one of the variables to see what is affected.
When an experiment shows that two variable ate closely related the experiment shows?
that there is a strong correlation between the two variables. This suggests that a change in one variable is associated with a change in the other variable. However, correlation does not imply causation, so further experiments are needed to establish if there is a causal relationship between the variables.
