A dependent factor.
Design and conduct an experiment
Well, it depends on your experiment. If you're adjusting the amount of cooking oil before an experiment, it's an independent variable. If you're calculating how much there is after the experiment, it would be a dependent variable.
easy! thats would be the INDEPENDENT VARIABLE!
The dependent variable changes as a result of changes in the independent variable.Put another way,The Independent Variable is manipulated, and is known as the changed variable.The Dependent Variable is responding, and is known as the result.Example : In an experiment to test the effect of heating on evaporation, the various temperatures would be the independent variable, which will be changed by the experimenter. The amount of water that evaporates in a given time is the dependent variable, which is the data sought in the experiment.
dependent 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 dependent variable in this experiment would be the time it takes for the sugar to completely dissolve in hot water.
what can be the constant in the paper plane experiment
A dependent (responding) variable is a condition that can change as the result of an independent variable's alteration. It can also be referred to as an effect. Every well-designed experiment has three kinds of variables. 1) Control variables, which are the same for each stage of the experiment. 2) Independent (manipulated) variables, which represent what is being changed by experimenters. 3) Dependent (responding) variables, which respond to the change and ideally are the direct result of the change in the independent (manipulated) variables.
Assuming you have done all of the necessary analysis and graph plotting, the next stage would be to write up your results in a report and derive an equation to describe the trend. Then repeating the experiment to ascertain whether the results are repeatable would be a good idea!
Any, the answer depends on what the experiment is about.
There are three kinds of variables in an experiment. The independent variable is what you change in the experiment. It is important that you have only one independent variable in your experiment. You would not be able to draw reliable conclusions from the experiment if you altered more than one experimental condition. The dependent variable is what you measure in the experiment. Unlike the independent variable, an experiment can have more than one dependent variable because variations in the independent variable can have many different effects. For example, you might measure length of leaves and weight of roots to assess the growth of radish plants. Dependent variables can include amounts as well as amount data. Such data cannot be measured but is still useful when you describe and compare it.