Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some...

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Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)? What are some situations in which you might accept a higher level (e.g., 0.1)?
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Think about what a low alpha test means when the results are found to be significant and what a higher alpha test means when the results are found to be significant. Explain when a lower alpha should be used and when it's okay to use a higher alpha. You should not necessarily need to use resources to find examples.

Interesting article on errors, p-values and significance:

http://www.nature.com/news/scientific-method-statistical-errors XXXXXXXXXX

Robert · Accepted Answer

While researchers often to use 0.05 as the value of alpha or level of significance, but there is 
no particular universal level which is recommended to all situations. The level of alpha 
chosen by the researcher or experimenter essentially depends on the nature of experiment 
being conducted and the implications of value of alpha.

Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)? What are some situations in which...

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