Wednesday 21 May 2008

Types of errors

Some of you might be aware of Statistics but it sounded like Greek to me till some days back. Few friends wonder how at this level group studies help, well it does, quite a bit. We studied about Types of errors in null hypothesis and didn't know how to memorise. We applied theory to real life situation, and the results are for you to enjoy.

Type I error: Rejecting the right

When one has the right person in front of them and yet they reject them, is the Type I error. Say for instance in a relationship or marriage. All of us wait for the right (dream) person to come and in the process reject the rights in front of us. If you look around then the frequency of this kind of error in real life is quite high.

Type II error: Accepting the wrong

Marrying the person one should not be marrying is the best example of Type II error. Obviously this is the error that scares people from getting married and once married, life is nothing but the acceptance of the fact that Type II error was happily made. Who makes this error??? almost everyone, lots have already made and accepted it, others are on their way of doing so.


However the best situation in real life is making both Type I error and Type II error. And after few years of relationship you live with Type II error and regret for all Type I errors.


In short life is all about trial and error or if I may say, 'trying the errors'.

:)

2 comments:

Azahar Machwe said...

You forgot one big error!
Type Zero Error: Thinking like a girl
Which means not thinking about right/wrong just randomly taking a decision. Probability of error is about 99%

;)

But jokes aside.. I think you missed a very important type of error.. I call it the Base Error in all other errors... this is the error due to Lack of Information. Stats is all about quoting confidence limits. How confident can you be that the Right was rejected or the Wrong accepted? One must remember life is not a closed system. It cannot be 'well defined'. Everything has a probability attached to it and not all probabilities are known (there may be error within the probabilities as well!).

Anonymous said...

Well aptly adapted my friend. Did you know we actually had statistics as a subject in MBBS? So I completely understand your plight. The coincidence of the analogy with recent times is striking :)