Simple question on standard deviation and mean. This question has kinda stumped me:

For a data set, the mean is 5 and the standard deviation is 1. There
  are 10 values in the data set. Is the range of the data set bigger,
  smaller or equal to 10?

I don't want the answer, just the technique. Here's what I've tried (admittedly, not much): 
$$\sum_{i=0}^{9}a_i / 10= 5$$
$$\sigma = 1$$
Is there a relation between standard deviation and simple mean which I can use? Any help is appreciated. This is not homework, it's a practice qn for the GRE.
 A: $\def\implies{\quad\Rightarrow\quad}$If the mean is 5, then you know that
$$\frac{1}{10} \sum_i a_i = 5 \implies \sum_ia_i = 50$$
and if the standard deviation is 1 (and hence the variance is 1) then
$$\frac{1}{10} \sum_i(a_i-5)^2 = 1 \implies \sum_i(a_i-5)^2 = 10$$
To make the range as big as possible, we choose two values $a^+$ and $a^-$ to be as far from the mean as possible (symmetrically) and set the rest of the values to the mean, i.e. $a^+=5+x$ and $a^-=5-x$. What does that tell you about $x$?
A: Let us define $$\mu=\frac{1}{N}\Sigma_{i=1}^N a_i$$ $$\delta=\max\{|a_i-\mu|:i=1,\ldots,N\}$$ $$\sigma=\sqrt{\frac{1}{N}\Sigma_{i=1}^N (a_i-\mu)^2}.$$
Then we get easily the following estimates $$\sqrt{N}\sigma\geq\delta\geq\sigma.\tag{*}$$
You know $N,\sigma$ and your problem is to estimate $\delta,$ so you can use (*).
A: Nice Chris Taylor.  I just want to comment about the OPs question when he said "Is there a relation between standard deviation and simple mean which I can use?".  In general there is no relationship between a mean and a standard deviation. You can construct families of distributions like the normal where any value can be given to the mean and independently any positive value can be given to the standard deviation.  In this case though you are dealing with a sample and you know that the sample mean is 5, the sample standard deviation is 1 and the sample size is known.  So you can relate the range here using Chris' trick because he knows how to pick a distribution that maximizes the range.
However, be careful, in statistics we often define the sample standard deviation as ∑i(ai−m)$^2$/(n-1)  which in your case would give ∑i(ai−5)$^2$/9.
If that is what the GRE writers intended when they said the variance is 1 then the correct answer would be 2x$^2$ = 9 or x=√4.5 = 2.121.  This could be a problem for you on the GRE because the answer you compute might not be one of the choices.
A: HINT
If the range is $10$, find out how large the standard deviation would have to be (It will be larger than 1)
