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.
An independent variable is a factor or condition in an experiment that is manipulated or changed by the researcher to observe its effect on a dependent variable. It is considered "independent" because its variation is not influenced by other variables in the study. For example, in a study examining the impact of different amounts of sunlight on plant growth, the amount of sunlight 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.
The independent Variable is the variable that you change in order to get a different result.
Independent variable is time; dependent variable is temperature.
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.
An independent variable is a factor or condition in an experiment that is manipulated or changed by the researcher to observe its effect on a dependent variable. It is considered "independent" because its variation is not influenced by other variables in the study. For example, in a study examining the impact of different amounts of sunlight on plant growth, the amount of sunlight 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 is the value you measure in an experiment. It relates directly to the independent variable (it 'depends' on it). By contrast: Independent variable - the condition you deliberately change in order to get different results. Controlled variable - the condition you keep the same in all specimens in an experiment. For example, if you were doing an experiment to see how different amounts of sunlight affected the height of bean plants, the dependent variable would be the height - that is what you are measuring, and it changes/varies with each plant. The independent variable would be sunlight. You would write the Dependent Variable as "Height (centimeters)"
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.
In a science experiment, the independent variable is the factor that is deliberately changed or manipulated by the researcher to observe its effects. The dependent variable, on the other hand, is the outcome or response that is measured and is expected to change in response to the manipulation of the independent variable. For example, in an experiment testing the effect of sunlight on plant growth, the amount of sunlight (independent variable) is varied, while the plant growth (dependent variable) is measured.
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.
Independent variable is time; dependent variable is temperature.
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.
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.