Question:

What is the difference between "Hypothesis" and "Prediction"?

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im writing a science research report and im really confused about the difference between them..

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  1. Hypothesis:  I think Brett Favre will help the Jets with his skillz.

    Prediction:  Jets will win the division this year with Favre  


  2. A prediction is a guess. It can be based on past observations or simple opinion. It's just a guess.

    An hypothesis is a declaration, a question, a position, an idea, based on observation, not opinion. It's an educated guess.

  3. A prediction is what you think will happen, and a hypothesis is what you think will happen because of a reason. For example, lets say I am doing a science experiment where I put some liquid water in a pot and then put it on a hot stove.

    Prediction: The water will boil and turn from a liquid into a gas.

    Hypothesis: If I put water in a pot and then heat it up on the stove, then it will boil because the molecules will speed up.

    A hypothesis is a basically a prediction of the conclusion and why something happened. Make sense? And a hypothesis is usually formulated in an if-then context. A hypothesis is kind of like a theory, but it isn't a theory. Its an idea with supporting details. A hypothesis uses proven science to help support your idea.

    Good luck!

  4. A hypostesis is what you test with an experiment. A prediction is what you think will happen. It may or may not agree with your hypothesis. Remember that an experiment can never prove something; it can only disprove. Therefore, most good experiments start with a null hypothesis, that there will be no difference between different procedures. For example: null hypothesis -- if you roll a pair of dice a couple of hundred times, you will get relatively even numbers of each possible number from 2 to 12. Your prediction might be that you will get the most 7s and the fewest 1s and 12s. The chances are that you will reject the null hypothesis.

    Another null hypothesis might be that there will be no difference in cure rates between antibiotic A and antibiotic B, for a particular disease.

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