C1.03: Rounding
Section 2. Rounding.
Suppose we want to make a graph to summarize the heights of a class of 50 people. And we have their heights measured to the nearest tenth of an inch. The purpose of making this graph is to get a feeling for the variability of their heights. So the numbers as measured are more accurate than we really need – heights to the nearest inch would be adequate and easier to handle. Here is a portion of the dataset.Original | 61.3 | 68.5 | 71.4 | 65.8 | 64.3 | 63.4 | 67.2 | 72.3 | 69.5 | 70.1 | 62.8 | 63.7 | 65.2 |
Rounded | 61 | 69 | 71 | 66 | 64 | 63 | 67 | 72 | 70 | 70 | 63 | 64 | 65 |
- (a) 3.14738 goes to 3.15
- (b) 0.73372 goes to 0.73
- (c) 0.0032 goes to 0.00
- (a) 817 goes to 820
- (b) –1123 goes to –1120
- (c) 74.567 goes to 70
Discussion. What about one-half?
Bookkeepers have noticed that, if you systematically round all numbers to the nearest dollar, rounding half-dollars up, and then take sums of those rounded numbers to estimate the sums of the original values, those estimates are a bit too high to be accurate. The problem is that there is some non-symmetry in the rounding rule. All those less than half “go down” and all those more than half “go up.” So far that’s symmetric. The problem is that the ones that are exactly half all go the same direction, which is “up.” So that’s not symmetric. So the rounded values are, on the average, overall, just a little bit higher than the original numbers. Going deeper. In situations where dealing with one-half in a non-symmetric manner might be a problem, a more sophisticated rounding rule is adopted. See the course web pages for additional discussion of more sophisticated rounding rules.Licenses & Attributions
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- Mathematics for Modeling. Authored by: Mary Parker and Hunter Ellinger. License: CC BY: Attribution.