How can evidence from experiment be explained in relationship to the hypothesis?
The Hypothesis is a prediction based on the theory being tested.
The evidmence can support the Hypothesis or invalidate the Hypothesis.
Predictions from good theories are accurate, while those from bad theories are inaccurate.
The hypothesis was that the helium nuclei would easily penetrate the atom revealing the distribution of the heavy positive charges. An example of this is the Bohr gold foil experiment. The Thompson theory or Model of atomic structure predicted that the heavy positive charges would be spread throughout the atom.
Some of the heavy helium nuclei were bounced back directly into the observer, providing evidence from the experiment that completely refuted the Thompson model and led to the development of the Bohr atomic model, which was later modified in light of additional experimental evidence.
The experimental evidence supported the Periodic Theory Hypothesis to such an extent that it is now considered not only a theory that explains things but also a law whose predictions always come true. All of the Periodic Theory's predictions came true.
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Evidence from an experiment is analyzed to determine if it supports or contradicts the hypothesis, providing insights into the validity of the proposed explanation or prediction. If the evidence aligns with the hypothesis, it reinforces its credibility; if not, it may necessitate hypothesis reconsideration or refinement.
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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
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