Using p-values for hypothesis testing they are intuitively, Ask an Expert

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Having problem with working through hypothesis process in real world examples.

* Hypothesis testing process is a series of steps to evaluate a process to see if assumptions are correct. What are the major benefits of the process and what are the weakness of the process?

* The null hypothesis or HO has unique characteristics such as (a) assumes status quo (b) assumes no difference (c) always contains an implied equal.
What would be an example in the average work world for HO and H1?

* Using P-values for hypothesis testing they are intuitively easy and dont require critical values in charts. In real world terms, what is the best way to describe how P-values work and how to explain this to someone?

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