Identifying & Interpreting Independent & Dependent Variables

Lesson Transcript
Instructor: Elizabeth Friedl

Elizabeth, a Licensed Massage Therapist, has a Master's in Zoology from North Carolina State, one in GIS from Florida State University, and a Bachelor's in Biology from Eastern Michigan University. She has taught college level Physical Science and Biology.

Scientists answer questions by performing experiments that have an independent variable, a dependent variable and at least one control variable. By controlling, adjusting and measuring these variables, scientists find answers to their questions. Updated: 12/13/2019

Scientists Ask Questions

Have you ever gone for a walk on a nice day and come across a pair of birds singing to each other? Did you wonder what they were saying? Maybe you've gone fishing with some friends and you became curious about why certain lures work better than others. Or perhaps you've wondered why when you spill a glass of water you have very little time to prevent it from going all over the place, but if you knock over a jar of peanut butter, you can easily reset it without losing a single drop.

Asking questions like this about our natural world is the mark of a good scientist. Scientists are constantly inquiring about why things are the way they are, how things work and how different things affect each other. They are incredibly curious about the intricacies of their surroundings, asking all sorts of questions about why, how, when, where and who.

The best way to answer these questions is with tests called experiments. These are step-by-step procedures used to validate hypotheses. Experiments usually provide evidence either supporting or refuting such hypotheses, but sometimes they are inconclusive and must be performed again.

For this reason, good experiments are designed so that they are repeatable. This means that if you, or someone else, wants to run your experiment again, you would be able to do so. This is important because we don't always find answers to our questions the first time, and being able to re-run the same experiment allows for the possibility of gathering more evidence.

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  • 0:02 Scientists Ask Questions
  • 1:29 Types of Variables
  • 3:39 Experimental Examples
  • 6:47 Lesson Summary
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Types of Variables

An important component of experiments is the different variables involved. A variable is any parameter in the experiment that can change. This could be a parameter like temperature, weight or height, or it could be more complex, such as life expectancy or growth rate. Depending on how you set up your experiment, you will use different kinds of variables. There are three basic types to be familiar with.

The first type is the independent variable. This is the variable that is manipulated during an experiment. For example, when experimenting with how fertilizer affects plant growth, the fertilizer is the independent variable because this is the variable that you change. It might help to think of the independent variable as the cause of change in the experiment.

In contrast to this, the dependent variable is the variable that is affected during an experiment. In our experiment, our dependent variable would be plant growth since this is affected by the amount of fertilizer applied. If you think of the independent variable as the cause, then the dependent variable is the effect.

If the independent variable is not the only factor that could affect the dependent variable, then you would have to make this factor a control variable. This is a variable that is controlled during and between experiments. In our fertilizer experiment, we would control for the amount of sunlight received by each plant. Control variables are very important because they allow a scientist to know that the experiment is only testing what they want to test. Depending on the complexity, some experiments will have many control variables, while others will have none.

Can you see how each type of variable gets its name? The dependent variable is dependent on the independent variable, and the independent variable is independent of the others. Control variables are controlled to make sure that the independent variable is the only factor causing a change in the dependent variable. Plant growth is likely affected by fertilizer (making it dependent), but fertilizer application is not affected by plant growth (making it independent). The amount of sunlight can affect growth rate, so it's controlled to stay the same in each experiment.

Experimental Examples

Let's look at a few different experiments to get a better idea of how these variables work. Say, for example, that you wanted to look deeper into that question you had earlier about fishing. The experiment you run depends entirely on the question you ask.

To start, you might ask, 'When is the best time of day to catch fish?' From past experiences, you hypothesize that fish are more active in the morning; therefore, this is the best time of day to catch fish. In your experiment, the time of day is the independent variable because this is what you change in the experiment. Dependent on this is the number of fish you catch, so this would be your dependent variable.

For this experiment, you will need to control for many factors, so you will have several different control variables. First, you need to make sure that you use the same equipment to catch fish each time. If you used different lures each time you went out, you would have no idea if the number of fish you caught was related to the time of day or the lure you used because both variables changed. This makes the fishing equipment one control variable.

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