Rather than answer your question directly I'll describe the scientific process.
1. Make an observation: I still get sunburn after swimming even if I use waterproof sunscreen.
2. Form a hypothesis: Waterproof sunscreen washes of just as fast as regular sunscreen.
3. Design an experiment:
3A. Identify an independent variable that you can control: how long I am in the water
3B. Identify a dependent variable that you can measure and that you think will vary in a predictable fashion as you change the independent variable: How much of a burn do I get after an hour in the sun.
4. Perform the experiment and collect data:
4A. Do a control experiment: Compare waterproof sunscreen to regular sunscreen (apply one to one arm and one to the other) and see if they preform similarly without water exposure.
4B. Do the rest of the experiments: Put regular sunscreen on side of your back and waterproof on the other. Sit neck deep in water in the shade for 10 minutes (or however long you choose for your experiment). Every 10 minutes sit higher in the water so that a larger portion of you back with sunscreen is no longer immersed. Mark the water level on your back for each interval. Finally, lie in the sun with your back exposed long enough to start seeing an effect.
5. Analyze the data: Compare the normal sunscreen side to the waterproof side to see if the waterproof side is the same or better.
6. Modify your hypothesis to better explain the data: Water proof sunscreen retains its effectiveness but only if you spend less than an hour in the water.
7. Test your new hypothesis using the method above.
8. If you are satisfied with the predictive ability of your hypothesis you can explore other aspects of the observation: Will swimming versus sitting still in the water effect how long waterproof sunscreen maintains its effectiveness in the water.
If you read through my description you will find the answer to the question posed.
Max L.
An independent variable is the variable which you change in an experiment. you can only have 1 variable that can change in an experiment and more than one independent variable will result in an unfair experiment
Changes in the independent variable will cause changes in the dependent variable.
An independent variable is the variable of the experiment that the dependent variable depends on. For example, in an experiment testing the effects of soil quality on a plant's growth, the dependent variable would be the plant's growth and the independent variable would be the quality of the soil.
The dependent variable.
In an experiment, usually one item will cause something else to vary in an observable manner and sometimes predictable way.A variable will be recognized as any factor, trait, or condition of the experiment that exists in varying amounts or types. There are independent variables, dependent variables, and controlled variables.An independent variable is one that is changed in an experiment. In order to perform a fair and subjective test one should consider only one independent variable during their experiment. As changes are made in the quantities of our independent variable, changes should be apparent that make observations different from other quantities of the independent variable.The focus of these observations is on the depenedent variable to see how it responds to the change made to the independent variable quantities. The new value of the dependent variable is caused by and depends on the value of the independent variable and is what we know as cause and effect.Not to be forgotten, we have the controlled variable which is a quantity that is maintained at a constant in the experiment so as to eliminate any confusion with cause and effect observations.
a independent variable is a variable changed in a science experiment,and a dependent variable is the result according to the cause of the change in the independent variable.
Math: Independent variable is what you change. Dependent variable is what you measure.
The independent variable, which is manipulated by the researcher, is expected to cause a change in the dependent variable, which is the outcome or response being measured in response to the manipulation.
In an experiment, the independent variable is manipulated or controlled by the researcher, while the dependent variable is measured to see the effect of the independent variable. The independent variable is the cause, while the dependent variable is the effect. Changes in the independent variable are expected to cause changes in the dependent variable.
An independent variable is the variable which you change in an experiment. you can only have 1 variable that can change in an experiment and more than one independent variable will result in an unfair experiment
An experiment is almost always designed so that two (and no more) things will change.-- You, the experimenter, will change one of them as you desire.-- That will cause a change in the other one, which you will carefully measure.
A control in an experiment is the subject not exposed to the independent variable, thereby determining whether the independent variable is the true cause of the results.
An independent variable is the factor that is manipulated or changed by the researcher in an experiment to observe its effect on the dependent variable. It is the variable that is thought to cause a change in the dependent variable.
The main parts of a controlled experiment are the dependent variable and the independent variable. The dependent variable is what is measured in the experiment. The independent variable is the variable that is varied or manipulated by the researcher. The independent variable is the presumed cause, whereas the dependent variable is the presumed effect.
The independent variable is the variable that you cause to vary during an experiment.
The independent variable is the variable that you cause to vary during an experiment.
The independent variable represents the input or causes, or are tested to see if they are the cause.