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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...
Independent variable is one that does not vary with respect to other variables while other variables called the dependent variables varies with the variation of the independent variable. for ex: if 'x' is is an independent variable that represents say 'time' lets take another variable the dependent like volume(v) . now we say the volume (v) varies with respect to time and not the other way. so, here 'x' is independent variable & 'v' is dependent variable
Independent variable is what you change in the experiment group. Dependent variable is what happens because of the independent variable. It has to be measurable in degrees, inches, or other such measurements.
The factors that distort the way the independent variable affects the dependent variable are referred to as the double-blinds. The factors try to explore the relationship between the dependent and independent variables.
The term 'independent variable' is normally used to refer to the variable that you are investigating in an experiment. A common colloquial definition is 'The variable you change' which is helpful, but not always clear. AQA (A UK examination board) defines it in the following way 'The independent variable is the variable for which the values are changed or selected by the investigator' Aims of experiments are often written in the form 'How does X affect Y?' X would be the independent variable and Y the dependent variable.
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...
Independent variable is one that does not vary with respect to other variables while other variables called the dependent variables varies with the variation of the independent variable. for ex: if 'x' is is an independent variable that represents say 'time' lets take another variable the dependent like volume(v) . now we say the volume (v) varies with respect to time and not the other way. so, here 'x' is independent variable & 'v' is dependent variable
Independent variable is what you change in the experiment group. Dependent variable is what happens because of the independent variable. It has to be measurable in degrees, inches, or other such measurements.
The relationship is a matter of cause and effect. An independent variable is given as one upon which another variable depends. So, for example, if you heat a metal pipe, the pipe expands. The amount of expansion is dependent upon the amount of heating that occurs, so expansion is the dependent variable, and the heating, which you may or may not control, is the independent variable. All it means is that if the independent variable ungoes a change, there is an associated and predictable change in the dependent variable. The two are linked inextricably, but one is cause, the other is effect, or to put it another way, you control the change in the dependent variable with input into the independent variable, but it doesn't normally work the other way around.
The factors that distort the way the independent variable affects the dependent variable are referred to as the double-blinds. The factors try to explore the relationship between the dependent and independent variables.
The independent variable determines the value of other variables and is change by the person doing the experiment. The dependent variable is what is affected by the independent variable; it "depends" on the independent variable.
a variable that is function is the value of other variables! And your mom. No this answer is wrong. Its the way you eat pizza.
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
An independent variable is a variable that is intentionally manipulated or changed by the researcher in an experiment to observe its effect on the dependent variable. The dependent variable, on the other hand, is the variable that is measured or observed to see how it responds to the changes made to the independent variable.
The term 'independent variable' is normally used to refer to the variable that you are investigating in an experiment. A common colloquial definition is 'The variable you change' which is helpful, but not always clear. AQA (A UK examination board) defines it in the following way 'The independent variable is the variable for which the values are changed or selected by the investigator' Aims of experiments are often written in the form 'How does X affect Y?' X would be the independent variable and Y the dependent variable.
Two way ANOVA