If the results of a experiment do not support the hypothesis this does not necessarily mean that the experiment was a failure or that the hypothesis was wrong, but simply that the test that was conducted did not find results that were significant and also showed that the "null hypothesis" was incorrect. Therefore, if a hypothesis is shown to be inaccurate by a particular experiment the issue might need further experimentation because it could be wrong or it could not, but this does not mean the experiment was a failure. In fact proving a hypothesis can be informative for conducting further experiments to conclude what caused the phenomena if not the original hypothesis.
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"Conservatives<span>, placed a congratulatory advertisement in </span>The London Evening News with this statement...(fan created)
Answer:
The Sierra Madre mountains surround city & trap in polluted air.
Explanation:
Answer: The goods have a better quality
Explanation:
The quality of a product is down to how well and painstakingly the producer takes his time to work on what he's selling. An organization which invests much more time into productivity will offer a better product than that which offer lesser time to producing. When more time is involved in productivity, the customer gains with a quality product.
