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Because otherwise it will not be possible to know whether observed variations in the dependent variable are due to one independent variable or another.
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).
Independent variables, namely a quantity change will not cause except the dependent variable other than the amount of change. Only by the independent variables to a physical quantities to express, it is by the function relation is correct The dependent variable, a quantity change will cause in addition to other than the dependent variable amount change. Put the dependent variables as independent variable, is to determine the relationship between a big physical quantities. Variables, it is to point to have no fixed value, can change the number Constant DuoZhong type, and every type is there is a data type, have integers, bytes, characters, floating point, enumeration, etc.
The independent variable is the variable that you are curious about, and that you are going to change is some systematic way in an experiment to see what affect your changes make. What you check, to see if there are differences, is the dependent variable. According to your hypothesis, the values of the dependent variable will 'depend' on how you manipulate the independent variable. You want to know the effect of growing plants under different colors of light. You want to know how different colors of light (the variable you will manipulate) will affect plant growth (the dependent variable). You will want to use several controls, too. For example, if you try the above but you use several different kinds of plant, of different ages, in different soils and temperatures and different amounts of water, and different lengths of exposure to light (some sunlight, some 'full-spectrum lamps', etc) your experiment will be without value, except as a lesson in how not to do it!
You need two variables. Make them x and y make y your dependent variable and x your independent variable. y=x1 this is a line y=4x1 this is a line y=4x1+3 this is a line y=x2 this is a curve y=x3 this is a curve make sure your x value has no power to it except 1 x=x1
Independent variable
Because otherwise it will not be possible to know whether observed variations in the dependent variable are due to one independent variable or another.
A controlled experiment involves two tests that are identical except for one factor, which is the independent variable. The effect of the independent variable is the one being tested.
you have to decipher out what exactly it is saying buut... participants that are exposed to the independent variable are in the experimental group and the participants who are treated the same way as the experimental group, except that they are not exposed to the independent variable, make up the control group... any...
you have to decipher out what exactly it is saying buut... participants that are exposed to the independent variable are in the experimental group and the participants who are treated the same way as the experimental group, except that they are not exposed to the independent variable, make up the control group... any...
A controlled experiment is when a researcher manipulates and controls all variables except for the one being tested, known as the independent variable. This helps to isolate and determine the specific effects of the independent variable on the dependent variable.
control group
In biology, the independent variable is the factor that is being manipulated or changed by the researcher in an experiment. It is the variable that is hypothesized to have an impact on the dependent variable, which is the outcome being measured. The independent variable is crucial in testing cause-and-effect relationships in scientific studies.
A controlled experiment is conducted where all variables, except for the independent variable, are controlled or kept constant. This helps to ensure that any observed changes in the dependent variable are solely due to the manipulation of the independent variable.
Controlling other variables means keeping all factors constant except the independent variable being studied in an experiment. This helps to isolate the effects of the independent variable and determine its true impact on the outcome. By controlling other variables, researchers can ensure that any changes in the dependent variable are a result of the independent variable being tested.
To conduct a controlled experiment, you need to control all variables except the one you are changing. The variable you change is called the independent variable, and the variable you measure in response is the dependent variable. Control variables are those that could potentially affect the outcome of the experiment but are kept constant to isolate the effect of the independent variable.
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).