04.03.2017 Views

3295263856329

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

390 Mastering Technical Mathematics<br />

(3.045 10 5 ) (6.853 10 7 ) 304,500 0.0000006853<br />

304,499.9999993147<br />

3.044999999993147 10 5<br />

SIGNIFICANT FIGURES<br />

HOW ACCURATE ARE YOU?<br />

The number of significant figures (or digits) in an expression indicates the degree of<br />

accuracy to which you know a numerical value, or to which you have measured, or can<br />

measure, a quantity.<br />

When you do multiplication, division, or exponentiation using scientific notation, the<br />

number of significant figures in the final calculation result cannot “legally” be greater<br />

than the number of significant figures in the least exact expression. Consider the two<br />

numbers x 2.453 10 4 and y 7.2 10 7 . The following is a perfectly valid statement<br />

if the numerical values are exact:<br />

xy (2.453 10 4 ) (7.2 10 7 )<br />

(2.453 · 7.2) 10 11<br />

17.6616 10 11<br />

1.76616 10 12<br />

But if x and y represent measured quantities, as is nearly always the case in experimental<br />

science and engineering, the above statement needs qualification. You must pay<br />

close attention to how much accuracy you claim.<br />

When you see a product or quotient containing quantities expressed in scientific notation,<br />

count the number of single digits in the coefficients of each number. Then take the<br />

smallest number of digits. This is the number of significant figures you can claim in the<br />

final answer or solution.<br />

In the above example, there are four single digits in the coefficient of x and two single<br />

digits in the coefficient of y. So you must round off the answer, which appears to contain<br />

six significant figures, to two significant figures. It is important to use rounding,<br />

and not truncation, as follows:<br />

xy (2.453 10 4 ) (7.2 10 7 )<br />

1.76616 10 12<br />

≈ 1.8 10 12<br />

In situations of this sort, if you insist on being “mathematically rigorous,” you can use<br />

approximate-equality symbols (the “squiggly” ones) throughout, because you are<br />

always dealing with approximate values. But most folks are content to use ordinary

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!