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Development of Hypotheses

A hypothesis as an explanation that must be testable and able to be proven false.

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Development of Hypotheses

What is a hypothesis?

An educated guess? Is that what you learned a hypothesis is? Lots of people have learned that, but it’s not exactly right. So what is a hypothesis? There are two hypotheses listed below to address a question about carbon dioxide in the atmosphere. Check out what those hypotheses are and what to do with them next.

Asking a New Question

Before we develop some hypotheses, let’s find a new question that we want to answer. What we just learned that atmospheric CO2 has been increasing at least since 1958. This leads us to ask this question: Why is atmospheric CO2 increasing?

Possible Answers for the Question

We do some background research to find the possible sources of carbon dioxide into the atmosphere. We discover two things:

  • Carbon dioxide is released into the atmosphere by volcanoes when they erupt.
  • Carbon dioxide is released when fossil fuels are burned.

A hypothesis is a reasonable explanation to explain a small range of phenomena. A hypothesis is limited in scope, explaining a single event or a fact. A hypothesis must be testable and falsifiable. We must be able to test it and it must be possible to show that it is wrong.

From these two facts we can create two hypotheses. We will have multiple working hypotheses. We can test each of these hypotheses.

Hypothesis 1

Atmospheric CO2 has increased over the past five decades, because the amount of CO2 gas released by volcanoes has increased.

Hypothesis 2

The increase in atmospheric CO2 is due to the increase in the amount of fossil fuels that are being burned.

Usually, testing a hypothesis requires making observations or performing experiments. In this case, we will look into the scientific literature to see if we can support or refute either or both of these hypotheses.


  • A hypothesis is a reasonable explanation to explain a phenomenon.
  • A scientific hypothesis must be testable and falsifiable.
  • Often, scientists as individuals or as a group test more than one hypothesis at a time to explain a phenomenon. This is called multiple working hypotheses.

Making Connections

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Use this resource to answer the questions that follow.


  1. What is the point of a hypothesis?
  2. What is an independent variable? How many independent variables does an experiment have?
  3. What is a dependent variable?
  4. What causes the dependent variable to change?
  5. In this question - If the temperature of the air decreases what happens to the speed of the bear? - what is the dependent variable and what is the independent variable?
  6. What is the answer to the question?
  7. How do you make a hypothesis?
  8. What is the hypothesis given involving air temperature and bear speed?
  9. Is our prediction random?


  1. Why is calling a hypothesis "a reasonable explanation” better than “an educated guess”?
  2. A hypothesis is shown to be wrong. Is the question the scientists are trying to answer a bad question?
  3. Why would scientists have multiple working hypotheses rather than just dealing with one hypothesis until it is shown to be right or is thrown out?




Able to be proven false by an observation or experiment and therefore testable.
multiple working hypotheses

multiple working hypotheses

Two or more hypotheses that can be tested simultaneously or in sequence.


Able to be evaluated critically, usually using data.

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