Given two events, A and B,
Pr(A and B) = Pr(A)*Pr(B) if A and B are independent and
Pr(A and B) = Pr(A | B)*Pr(B) if they are not.
The difference is that the independent variable is the one being changed (manipulated), dependent is not.
What is the difference between dependant and independent events in terms of probability
One is controlled by the scientist (dependent) other isn't (independent)
One is controlled by the scientist (dependent) other isn't (independent)
independent variable is the one you control. the dependent variable depends on the indepdendent variable (the results). on the graph independent in on the bottom and dependent is on the side
Dependent means you need some support. Independent means you are on your own and need no help.
A dependent variable can vary as the experiment goes on. The independent will not change during the experiment.
gbf
The independent variable is the variable that is manipulated. This affects the dependent variable and the results of the experiment.
Independent- It doesn't rely on something. and it stays the same. Dependent- It relies on something. And it changes.
Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.
Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.