There is no way for us to read your mind and see whatever experiment you're testing. The variable is the thing that changes in an experiment, however, so look for whatever is changing.
Dependent variable!!
Time is the independent variable.
It would depend what aspect of perception you are measuring and how you are measuring it.
An across variable is a variable whose value is determined by measuring a difference of the values at the two extreme points of an element.
dependent variable is what you are measuring in an science experiment
Independent Variable is what you are CHANGING and Dependent Variable is what you are MEASURING ! get at me on aim if i helped Gurlsofly5
The independent variable is the thing you are changing/varying. The dependent variable is the thing you are measuring. This variable should be affected by the independent variable. Control variables are anything that must be kept constant. If there are any other factors which affect the dependent variable, then these need to be controlled so that they do not have any significant effect (basically ensuring that you are actually measuring the effects of the independent variable).
The Linear Variable Differential Transformer is a type of electrical transformer used for measuring linear displacement. A counterpart to this device that is used for measuring rotary displacement is called a Rotary Variable Differential Transformer.
That process is known as measuring the dependent variable. The dependent variable is the outcome or response that is measured to assess the effect of changing the independent variable in an experiment or study.
a continous variable is one that can assume different values at each point, so if you were measuring height it could be 187.1, 187.2.. 187.8, but this can not be used for something such as measuring the amount of people in a family, because there can't be 3.4 people in a family. This is when discrete variable is used, this measures full numbers.
the controlle variable would be the measuring cup because you dont change that
The variable you change to affect the dependent variable is called the independent variable. For example, in an experiment measuring plant growth, the amount of sunlight the plants receive is the independent variable, while the growth of the plants (measured in height or biomass) is the dependent variable. By altering the independent variable, you can observe how it influences the dependent variable.