In this case, the independent variable is the amount of sunlight. Intuitively this makes sense because we want to know how the deepness of green in leaves DEPENDS on the amount of sunlight present.
Whether or not the plant is exposed to sunlight. Independent variables are manipulated by the experimentor, dependent variables react to the change in the independent variable.
The independent Variable is the variable that you change in order to get a different result.
The independent variable is the one thing in the experiment that does change. The dependent variable "depends" on the independent variable. For example if you were testing to see how well plants grow in the dark, and you put one plant in a closet and the other by a window. The independent variable would be the amount of sunlight that each plant gets. The dependent variable would be if the plants grew or not because it depends on how much sunlight each plant got.
Independent variable is time; dependent variable is temperature.
The independent variable in any item that is changed during a scientific experiment. The dependent variable is the object being tested. In an experiment testing the buoyancy of wood in different solutions, the different solutions would be the independent variable.
Whether or not the plant is exposed to sunlight. Independent variables are manipulated by the experimentor, dependent variables react to the change in the independent 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.
The independent variable in an controlled experiment is what you are changing (for example, amount of water or sunlight a plant gets). The dependent variable changes because of the independent variable. Its the outcome of the independent variable.
The independent Variable is the variable that you change in order to get a different result.
The dependent variable in a scientific experiment refers to the variable that is being measured or observed to determine the effect or relationship with the independent variable. It is called "dependent" because its value is believed to depend on the changes made to the independent variable.
Sunlight
If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.
The independent variable in an experiment is the one that is manipulated in order to test a hypothesis. There will also be a control used in order to make sure that the variable is doing what it is supposed to.
The independent variable is the one thing in the experiment that does change. The dependent variable "depends" on the independent variable. For example if you were testing to see how well plants grow in the dark, and you put one plant in a closet and the other by a window. The independent variable would be the amount of sunlight that each plant gets. The dependent variable would be if the plants grew or not because it depends on how much sunlight each plant got.
Independent variable is time; dependent variable is temperature.
An independent variable is what you control. So in this case the independent variable would be how you're killing the bacteria (different solutions of bleach, different temperatures, different wavelengths of light, etc). The dependent variable is the variable you are looking for a change in, in this case it would be how many bacteria die.
a kind of example is the amount of sunlight * * * * * No it is not! The amount of sunlight given out by the sun depends on solar activity. It will be hugely greater in around 4.5 billion years when the sun becomes a red giant. The amount of sunlight incident on some point depends on the location of that point. Somewhere on Mercury will get a lot more sunlight than on Neptune! Also even if you restrict yourself to points on the earth, there are differences between latitudes, the time of year, cloud cover and so on. Even something that is apparently as independent of everything else, such as time, is not quite that independent. Gravity affects it. An independent variable is determined not by the variable itself but by the context of the "experiment". It is (or they are) variable(s) that affect the dependent variables but are not affected by them. An independent variable in one experiment may be the dependent variable in another. For example: age and height of people: I would say that age is independent and height is dependent. height and membership of basketball team: I would say height is independent and membership is dependent.