It is important to state what you think might happen to know whether you original impression was correct or incorrect. That is the whole point of experimentation. If I notice that a ball drops when I release, I might assume it works this way for all objects.
Hypothesis: All objects fall to the ground when they are released on Earth.
Through testing I can find out whether my original idea is right or wrong. In this case, it is right.
A hypothesis allows us to understand what we are actually trying to measure and study. Without this experimentation is worthless.
2006-09-14 10:34:33
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answer #1
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answered by msi_cord 7
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If a hypothesis is specific, then it can only have limited implications. A good hypothesis will have a general statement to observe. This is a good basis on buildign actual scientific fact.
2006-09-14 10:39:04
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answer #2
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answered by jtrigoboff 3
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Hypothesis: ARE ALL SWANS WHITE?
So, you survey the swans in your local pond. They are all white. But are all swans white? Then you check the swans in your town or city. They are all white too. But are all swans white? You travel around the country. Every swan you see is white. But are all swans white? You recruit teams from different countries and collect their data. All foreign swans are white. But are all swans white?
As your sample size increases, from local to national to international surveys, the probability that all swans are white increases. But the probability can NEVER = 1 (100%) because all scientific hypotheses must be disprovable. You must always allow for the probability, however small, that one day, somebody, somewhere, will find a black swan.
2006-09-14 13:02:29
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answer #3
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answered by Anonymous
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Because our knowledge of the world is always changing. Suppositions drawn from such knowledge are therefore subject to change.
2006-09-14 10:41:18
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answer #4
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answered by Anonymous
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