Average amount of die rolls to roll a specific number

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SUMMARY

The average number of rolls required to land on a '1' when rolling a fair 6-sided die is definitively 6. This conclusion is derived from the properties of geometric random variables, where the probability of rolling a '1' is 1/6. The mean of this distribution is calculated using an infinite series that accounts for the probabilities of rolling a '1' after a varying number of attempts. The misunderstanding arises from conflating the average outcome with the expected value of a single roll, which is 3.5.

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onelegout
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Hi,
I know very little about maths. I'm struggling to get my head around a question I was asked today, and I was wondering whether someone could explain it to me.

Question:
If a very large group of kids took it in turns to roll a die again and again until it landed on '1', on average how many rolls would they take each.

The question assumes a true and fair 6-sided die numbered 1 to 6, and I take 'very large' to mean 'large enough to be statistically viable'.

I am told the answer to this is '6'.

I have trouble understanding why the answer is 6 and not 3.5.

The way I look at it, the probability of rolling a 1 is 1/6. This means that probability states that the average child should roll a 1 in the first 6 attempts.

This also means that the 1 has an equal chance of appearing on each of the first 6 rolls.

To me that means that it should average out at 3.5 rolls.

I understand that it is perfectly possible however unlikely that the die will be rolled many times without landing on a 1, for example a child could roll it 10,000 times before it landed on a 1. This is extremely unlikely, but it IS possible.

What I want to know, is how I apply this improbable but possible situation to answering the question.

I'm sorry if this all seems a little jumbled or if I've got the wrong end of the stick completely, but I have little more than a basic GCSE maths education (which I failed dismally!)

Thanks,
Henry
 
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If a 1 were rolled every 3.5 times, it becomes impossible for each number (1-6) to appear with equal probability.
 
Welcome to PF!

Hi Henry! Welcome to PF! :smile:

Suppose the die is rolled 6,000 times altogether …

how many 1s would you expect, and how many times would a new child take over the throwing? :wink:

(incidentally, the usual way of solving this is the series 1/6 ∑ (5/6)n :biggrin:)
 
The answer is 6/# of kids, because there is a 1/6 chance of getting a 1. Which means, on average, for every six rolls of the die, a 1 should come up once.
 
The answer involves the definition of "average". For a specific sample of things, average has one meaning. For a "random variable", it has another and it is usually called the "mean" of the random variable instead of the "average".

The mean of a random variable with a discrete number of possible values (such as 1,2,3,..) is defined as a sum of terms. Each term is the product of a value (such as 3) times the probability that the value occurs.

If we let the random variable X be the number of thows up to and including the first throw that produces a 6, then X can take on the values 1,2,3,4,5,6,7,8,... etc.

Each value has a certain probability. For example the probability that X = 3 is the probability that the first two throws are not-6 and the third throw is a 6. So the term corresponding to that outcome is (3)(5/6)(5/6)(1/6).

So (as tiny-tim indicates) computing the mean requires computing an infinite sum, which begins

(1)(1/6) + 2(5/6)(1/6) + 3(5/6)(5/6)(1/6) + ...

This general type of random variable is called a "geometric random variable".
http://en.wikipedia.org/wiki/Geometric_distribution
 
If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

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