A hypothesis has classical been referred to as an educated guess. In the context of the scientific method, this description is somewhat correct. After a problem is identified, the scientist would typically conduct some research about the problem and then make a hypothesis about what will happen during his or her experiment. A better explanation of the purpose of a hypothesis is that a hypothesis is a proposed solution to a problem. Hypotheses have not yet been supported by any measurable data. In fact, we often confuse this term with the word theory in our everyday language. People say that they have theories about different situations and problems that occur in their lives but a theory implies that there has been much data to support the explanation. When we use this term we are actually referring to a hypothesis. For example, someone might say, "I have a theory about why Jane won't go out on a date with Billy." Since there is no data to support this explanation, this is actually a hypothesis. In the world of statistics and science, most hypotheses are written as "if...then" statements. For example someone performing experiments on plant growth might report this hypothesis: "If I give a plant an unlimited amount of sunlight, then the plant will grow to its largest possible size." Hypotheses cannot be proven correct from the data obtained in the experiment, instead hypotheses are either supported by the data collected or refuted by the data collected.
1. If I replace the battery in my car, then my car will get better gas mileage.
2. If I eat more vegetables, then I will lose weight faster.
3. If I add fertilizer to my garden, then my plants will grow faster.
4. If I brush my teeth every day, then I will not develop cavities.
5. If I take my vitamins every day, then I will not feel tired.
6. If 50 mL of water are added to my plants each day and they grow, then adding 100 mL of water each day will make them grow even more.
What is a Hypothesis?
A hypothesis is a tentative, testable answer to a scientific question. Once a scientist has a scientific question she is interested in, the scientist reads up to find out what is already known on the topic. Then she uses that information to form a tentative answer to her scientific question. Sometimes people refer to the tentative answer as "an educated guess." Keep in mind, though, that the hypothesis also has to be testable since the next step is to do an experiment to determine whether or not the hypothesis is right!
A hypothesis leads to one or more predictions that can be tested by experimenting.
Predictions often take the shape of "If ____then ____" statements, but do not have to. Predictions should include both an independent variable (the factor you change in an experiment) and a dependent variable (the factor you observe or measure in an experiment). A single hypothesis can lead to multiple predictions, but generally, one or two predictions is enough to tackle for a science fair project.
Examples of Hypotheses and Predictions
|How does the size of a dog affect how much food it eats?||Larger animals of the same species expend more energy than smaller animals of the same type. To get the energy their bodies need, the larger animals eat more food.||If I let a 70-pound dog and a 30-pound dog eat as much food as they want, then the 70-pound dog will eat more than the 30-pound dog.|
|Does fertilizer make a plant grow bigger?||Plants need many types of nutrients to grow. Fertilizer adds those nutrients to the soil, thus allowing plants to grow more.||If I add fertilizer to the soil of some tomato seedlings, but not others, then the seedlings that got fertilizer will grow taller and have more leaves than the non-fertilized ones.|
|Does an electric motor turn faster if you increase the current?||Electric motors work because they have electromagnets inside them, which push/pull on permanent magnets and make the motor spin. As more current flows through the motor's electromagnet, the strength of the magnetic field increases, thus turning the motor faster.||If I increase the current supplied to an electric motor, then the RPMs (revolutions per minute) of the motor will increase.|
|Is a classroom noisier when the teacher leaves the room?||Teachers have rules about when to talk in the classroom. If they leave the classroom, the students feel free to break the rules and talk more, making the room nosier.||If I measure the noise level in a classroom when a teacher is in it and when she leaves the room, then I will see that the noise level is higher when my teacher is not in my classroom.|
What if My Hypothesis is Wrong?
What happens if, at the end of your science project, you look at the data you have collected and you realize it does not support your hypothesis? First, do not panic! The point of a science project is not to prove your hypothesis right. The point is to understand more about how the natural world works. Or, as it is sometimes put, to find out the scientific truth. When scientists do an experiment, they very often have data that shows their starting hypothesis was wrong. Why? Well, the natural world is complex—it takes a lot of experimenting to figure out how it works—and the more explanations you test, the closer you get to figuring out the truth. For scientists, disproving a hypothesis still means they gained important information, and they can use that information to make their next hypothesis even better. In a science fair setting, judges can be just as impressed by projects that start out with a faulty hypothesis; what matters more is whether you understood your science fair project, had a well-controlled experiment, and have ideas about what you would do next to improve your project if you had more time. You can read more about a science fair judge's view on disproving your hypothesis here.
It is worth noting, scientists never talk about their hypothesis being "right" or "wrong." Instead, they say that their data "supports" or "does not support" their hypothesis. This goes back to the point that nature is complex—so complex that it takes more than a single experiment to figure it all out because a single experiment could give you misleading data. For example, let us say that you hypothesize that earthworms do not exist in places that have very cold winters because it is too cold for them to survive. You then predict that you will find earthworms in the dirt in Florida, which has warm winters, but not Alaska, which has cold winters. When you go and dig a 3-foot by 3-foot-wide and 1-foot-deep hole in the dirt in those two states, you discover Floridian earthworms, but not Alaskan ones. So, was your hypothesis right? Well, your data "supported" your hypothesis, but your experiment did not cover that much ground. Can you really be sure there are no earthworms in Alaska? No. Which is why scientists only support (or not) their hypothesis with data, rather than proving them. And for the curious, yes there are earthworms in Alaska.
|What Makes a Good Hypothesis?||For a Good Hypothesis, You Should Answer "Yes" to Every Question|
|Is the hypothesis based on information from reference materials about the topic?||Yes / No|
|Can at least one clear prediction be made from the hypothesis?||Yes / No|
|Are predictions resulting from the hypothesis testable in an experiment?||Yes / No|
|Does the prediction have both an independent variable (something you change) and a dependent variable (something you observe or measure)?||Yes / No|
Educator Tools for Teaching about Hypotheses
Using our Google Classroom Integration, educators can assign a quiz to test student understanding of hypotheses. Educators can also assign students an online submission form to fill out detailing the hypothesis of their science project.
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