QUOTE(convivencia @ Jan 1 2010, 06:09 AM)
what if the research data all come out wrong?
do you discard the data or do you change the hypothesis, or both?
or do you start a new branch of research on why the data come out so weird?
the 3rd option may prove to be very useful. sometimes it might result in unexpected new discoveries
if the method is right but the results are wrong, then it IS STILL a valid result.
for example, u hypothesize in the beginning that "eating an apple a day will keep the dentist away". the null hypothesis would be "eating an apple a day will NOT keep the dentist away".
so after studying and researching all ur data, u found that "eating an apple a day will not keep the dentist away". all data is still correct, but u still need to go to the dentist every 6 month. so the result is clear. apples dont do anything. it's the whole mentality of people nowadays that keeps going back to the dentist.
if u're doing a PhD, a null hypothesis is STILL a result.