examine practical applications of hypothesis testing. Make sure to read the chapter on hypothesis testing before posting

[answerhappygod]

examine practical applications of hypothesis testing. Make sure
to read the chapter on hypothesis testing before posting.
Successful management is about making decisions to bring about
desired change. A manager who has a specific objective will execute
an action, hoping that the result will be the achievement of that
objective. However, due to the multitude of factors that are in
play in any real-life situation, it is difficult to tell if the
desired outcome has been achieved or if the new numbers are only
due to randomness.
For example, a sales manager implements a bonus system and sees
the sales figures go up by 3% in the next month. She claims
success, but was this really due to the bonus system or could the
increase be the result of random fluctuations, something that would
have happened anyway? Can the manager confidently claim that there
has been a significant change, something that could not be the
result of random fluctuations?
Another example may be where HR is worried there may be a
difference between the salaries of men versus women that may need
to be corrected. Is the difference between average salaries of the
two genders significant, or could it be due to coincidence? Can
someone claim there is discrimination at work?
Hypothesis testing settles such questions by analyzing
statistical data and is key to managing intelligently. Without
these answers, you cannot be sure if the actions you are taking are
working out or whether things really are the way you think they
are. If you do not know these, how can you know what to do?
For this Discussion, describe a key question or claim that may
drive important actions from your organization (this can be work,
school, gaming, sports league, etc)