I am knee-deep in random experiments. Amartya, my teenaged son has his 12

^{th}grade exams coming up, and he seems to have found a simple rebuttal to my ‘Don’t you plan to study’ refrain. It is the simple and effective retort ‘Why don’t*you*study and teach me? Aren’t you supposed to be a math teacher?’
I have rechristened this simple and ingenious strategy to keep a nagging parent at bay as '

**Bayes' Theorem**' ... you see, I am studying Probability...
Anyway, my own continued trials and tribulations with my teen terror has inspired me to rethink many of the other terms and examples used in Probability, too. Here are some:

**Random Experiment**: is defined as an experiment that can be repeated numerous times under the same conditions. Some examples are: the tossing of a coin, the throwing of a die, or calling Amartya every morning to try and get him out of bed.

Now, it should be easy to understand why a random experiment is also known as a ‘trial’...

**Subjective probability:**describes an individual's personal judgement about how likely a particular event is to occur. It is not based on any precise computation but is often a reasonable assessment by a knowledgeable person.

For example, according to a reasonable assessment made by me, on any given morning, the likelihood of Amartya getting out of bed after being called once is 0, after being called 25 times is 0.2, and after being called 75 times is 0.5.

**Relative Frequency:**describes the frequency at which Amartya’s various relatives (his father, sister, grandmother and me) appear in his room to try and get him out of bed.

**Impossible Event:**is an event that just can

*NOT*happen, whose probability is 0. For example: the event that Amartya wakes up before 11 am on

*any*day when there is no college, including a day immediately preceeding an exam.

**Certain Event:**An event that is

*SURE*to happen, whose probability is 1. For example: the event that Amartya logs onto FB on

*any*given day of the year, including a day immediately preceeding an exam.

**Independent events:**are two events that do not affect each other at all

**-**when

**the probability of an event A occurring is**

*totally*independent of another event, B and vice versa.

For example: Let A be the event of Amartya spending more than 5 hours on Facebook on a given day; and B be the event of there being an exam the next day.

Then A and B are independent events - as the probability of A remains 1, it is

*absolutely unaffected*by event B.
And I end by redefining

**Mutually Exhaustive events**...Mutually Exhaustive Events

The above series of 'Mutually Exhuastive Events' usually ends with this - a Mutually Exclusive Event. |

I can so relate to Amartya's condition.. "Dont you have any work except harassing me?".. - So true.. I still use the same words.. :P

ReplyDeleteI was so sure Mr. K would definitely agree to Mowgs point :P :P

ReplyDeleteSukhi - way to go - I am thinking, is it teenage boys or in general boys err men! :D I do the same here :D lol

:)

ReplyDeleteWe should do a study with men of various age groups to find the experimental probability of men retaining teenage habits in adult life....

Hmmm...why is it all so familiar? :-)

ReplyDeleteGreat observations and witty cartoons, Suchi. Enjoyed the piece thoroughly!

Good show suchi,

ReplyDeleteprobability theory repackaged to fit Dr Amartya's model. The cartoons and the write-ups were quite witty esp the last one mutually exhaustive (tiring) to mutually exclusive (not talking any more) event. Keep it up

This is from the guy who is on the "doors" of dillema - can niether enter nor avoid either of the rooms!! - As a not so neutral observer I can not miss saying Amartya so so so very much reminds me of Suchi:)

ReplyDeleteSuchi - best about the peice above is that now I know so much about probability - you made it so elimentary.

Lastly - Independent Events - are like sniper or stray gun fire - which hit by standers who assumed themselves to be truly independent - as in detached - observers - ouch - till we get hit by these no longer independet events

And yes, you have been in wrong profession for last 20 odd years, your future is in humour.

That's hilarious, Suchi. Sudarshan I think the probability teachers have it wrong: there is no such thing as truly independent event! - Davey S.

ReplyDeleteA fun read.. awesome illustrations

ReplyDeletethis one was really funny!!

ReplyDeleteOh Suchi I love your posts....keep writing.

ReplyDeleteThanks a lot, glad you are enjoying the posts Surya! How are things there? Do you blog?

ReplyDeleteRealy We are Enjoying This a lot Thanks for developing this blog

ReplyDelete