They're both parts of an experiment.
You conduct an experiment to find something out. Let's say you want to know if little kids like strawberries in their ice cream, and you know that little kids like ice cream. The presence of strawberries would be your manipulated variable. To test it, you would get two groups of kids - a control group that got normal ice cream (no strawberries, variable = 0 = false) and a group with ice cream that had strawberries (variable = 1 = true). You need the control group to help make sure nothing weird happened. For example, let's say you just happened to get a group of kids that hated ice cream. If you didn't have a control group, you would assume that no, kids don't like strawberries in their ice cream because none of them ate the ice cream when in fact it is the ice cream itself that they don't like, which you wouldn't've known without the control group.
Chat with our AI personalities
The independent variable is the thing you change, the dependent variable is the variable that changes because of the independent variable, it could also be referred to as the effect, and the control group is the constant, the thing that stays the same and the variable that you compare your results to.
An independent variable is the variable that the scientist changes, and the dependent variables are the variables that the scientist doesn't control. So that would mean that the independent variable is typically the variable being manipulated or changed and the dependent variable is the observed result of the independent variable being manipulated. The independent variable in a science experiment is the variable that you change on purpose. The independent variable is the variable that scientists manipulate in an experiment in order to determine its effect on a dependent variable. For example, if you wanted to see what affected frog deformities, you would set up an experiment where you would have frogs placed in the same environments as each other, except for one variable (independent) that is different. Let's say the control group gets exposed to all the same food, temperature, length of daylight, population density, etc., as the experimental group. The experimental group has the amount of UV exposure varied. The UV exposure (independent variable) would be used to determine its effects on frog deformities (dependent variable).
A manipulated variable is essentially the same as an independent variable in the context of scientific research. Here's an example. Suppose you were studying how quickly rats can navigate a maze to find food and you wanted to know the effect of hunger level. You could keep one group of rats hungry for four hours and another group hungry for eight hours then allow each rat in the two groups to find its way through the same maze to a quantity of food. You would measure the time it took each rat to find the food. The manipulated variable would be the time that a rat had been kept hungry.
It must have a control group, experimental group, and a experimental variable
i dont know u tell me you dummy