From: Kalyan

I am a kind of person who do maths & statistics because I love these subjects. I came to know about your site from internet. Right now I am working on probability & number theory.

I have one question. Could you please help me. Here is my question:

Q. When four people toss fair coins, what is the probability that in a given toss there will be one "odd man". That is one person whose coin does not have the same out comes as that of any other members?

 


Hi Kalyan.

We can easily write out all the possibilities and just identify how many there are with an "odd man" and divide that by the total number of possibilities:

HHHH HTHH THHH TTHH
HHHT HTHT THHT TTHT
HHTH HTTH THTH TTTH
HHTT HTTT THTT TTTT

So you can just read off the probability in this case, but what about a more general approach where the numbers are too big to use this simplistic approach?

Since each toss (and coin) is "fair", there is an equal likelihood of it turning out as heads or tails. This means there are two equal possibilities. Let s = 2.

Each toss is entirely independent of the others. That means the outcome on one toss has no bearing on the outcome of another toss. There are four independent tosses, so let n = 4.

Now the number of different four-toss outcomes is the number of choices for each toss multiplied together. This is sn .

That gives us the total (because 24 = 16, just as in our table). Now we can take a look at the events we really want to count: how many have an "odd man" out. We can interpret this as meaning that everyone except one person gets the same outcome.

Let's say that n-1 people get heads. How many choices does the last toss have, if it cannot be the same?

It could be anyone who gets it, so that means there are n possible people who didn't throw heads. How many non-heads outcomes can one toss have? s-1.

That means the number of four-toss outcomes with everyone getting heads except for one person is n(s-1). But this is only one of the s cases, so really there are s times this many odd-man out situations. That makes the total number of equally-likely outcomes ns(s-1). The probability, P, is this divided by the total sn:

Let's check this with the original four-coins question:

So the formula we came up with works for this situation. Let's test it on one other situation. Let's say 3 people roll fair six-sided dice (one each). What is the likelihood of an "odd man" situation?

In this case, n = 3 people and s = 6 sides, so we predict:

Is this accurate? The numbers are still small enough for us to write out the possibilities:

111112113114115116
121122123124125126
131132133134135136
141142143144145146
151152153154155156
161162163164165166

211212213214215216
221222223224225226
231232233234235236
241242243244245246
251252253254255256
261262263264265266
311312313314315316
321322323324325326
331332333334335336
341342343344345346
351352353354355356
361362363364365366

411412413414415416
421422423424425426
431432433434435436
441442443444445446
451452453454455456
461462463464465466
511512513514515516
521522523524525526
531532533534535536
541542543544545546
551552553554555556
561562563564565566

611612613614615616
621622623624625626
631632633634635636
641642643644645646
651652653654655656
661662663664665666

If you add up the yellows, you'll find 15/36 of each table is yellow. This agrees with the formula we made.

Hope this helps!
Stephen La Rocque.