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This problem arose while tallying votes in a poll and displaying the results as a whole number percentage. So if "Option A" received $300$ votes and "Option B" received $100$, the display should read "$75\%$, $25\%$".

There is a requirement that the integer percentages must add up to $100\%$. Which means that rounding up one percentage will cause the other to round down.

How should the following percentages be rounded?

  1. $20.5\%$ & $79.5\%$ (which one rounds up?)
  2. $49.5\%$ & $50.5\%$ (equal or not?)
  3. $0.5\%$ & $99.5\%$ (is $0.5\%$ statistically significant?)

I tend to feel that the small numbers should be given more priority (so $0.5\%$ rounds up to $1$, while the $1\%$ difference in the $49.5$/$50.5$ split gets increased to $2\%$ giving $49$/$51$).

Is there any "one rule to round them all"?

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marked as duplicate by sandwich, Silvia Ghinassi, G. Sassatelli, USER91500, choco_addicted Mar 9 at 6:47

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

1  
There is no rule, so I cannot give an answer. I would be in sympathy with giving small numbers priority up to about $30\%$, but no later. – André Nicolas Aug 19 '12 at 8:48
up vote 1 down vote accepted

This answer doesn't address the stated questions (1), (2), and (3), but rather suggests a nice mathematical interpretation of the problem (generalized to more than two options). You have $n$ values $p_1, p_2, \ldots, p_n$ which add up to an integer sum $s$, in this case $s = 100$. You can divide each of them into integral and fractional parts $p_i = q_i + r_i$, where $q_i$ is an integer and $r_i$ is a real number in $[0, 1)$. Clearly $r_1 + r_2 + \cdots + r_n$ must be an integer, say $k$. The rounded form of each value is either $q_i$ or $q_i + 1$; that is, we will replace each $r_i$ with either zero or one. We are allowed only $k$ ones. Then the question is, which of the $p_i$ should get one of the $k$ ones, and which ones should not?

A natural way to do this is to define some function $f$ which tells how much each value "deserves" a one. Then you take the top $k$ values according to $f$ and give them ones (i.e. round them up) and give the rest zeroes (round them down). If you wanted to treat all values equally, you would set $f = q_i$. For example, if you had values $33.3\%$, $33.3\%$, and $33.4\%$, then $k = 0.3 + 0.3 + 0.4 = 1$, and the values of $f$ are $0.3$, $0.3$, and $0.4$, so you round as $33\%$, $33\%$, and $34\%$. (This is better than rounding each value independently, because then you get $33\%$, $33\%$, and $33\%$, and you've dropped a percentage point in the process.) If you want to give low values a boost, you could try $f = q_i + (s-p_i)/s$. Then a value of, say, $2.xx\%$ need only be at least $2.02\%$ to beat $50.5\%$ and $90.9\%$ in the Who Wants to Be Rounded Up competition.

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Thanks Rahul for the clear explanation. It's interesting that for n>2 this problem occurs at values other than ri = 0.5 – Peter Gibson Aug 26 '12 at 0:10

As far as I know there is no rule. I would be rounding as:

$1) 21\% / 79\%$ (small number rounds up)

$2) 49\% / 51\%$ (to show the difference)

$3) 1\% / 99\%$ (small number rounds up)

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