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Only do exerice 1-9

220AL-E1 he uncertainty in an experimental quantity must be reported. Since there are a number of ways to do this we must state the meaning of the uncertainty. A Estimated uncertaint Sometimes we make several measurements that are identical. Eq 1-2 would yield ơx-0, which could lead to the mistaken impression that the uncertainty is zero when in fact the precision of the instrument is less than the random errors. We must estimate the uncertainty, and, in most cases, the precision of the instrument is used as the uncertainty common method is to report Ox together with the number of measurements n. The reader can quickly calculate ơ . In the remainder of this manual, we shall either quote the standard deviation or the estimated uncertainty as the uncertainty Sometimes only one measurement is made and often the precision of the instrument is used as an estimate of the uncertainty. Depending upon the instrument and the situation, the uncertainty could be less than the precision of the instrument or it could be more. For example, in measuring the length of a sheet of paper with a meter stick, we may estimate the distance between the smallest subdivision (mm) if we turn the meter stick onto its side to eliminate parallax. Therefore, the uncertainty in the measurement might be 0.5 mm or even 0.3 mm rather than the precision of the meter stick which is 1 mm. On the other hand, if we measure an object that is not right next to the meter stick, the uncertainty might be 2 or 3 mm. Often judgment is required in order to estimate the uncertainty in a single measurement. Table 1-2. Weight of a flea Weight. N W1 -1.96 x 10-4 W2 -1.94 x 10-4 W3 -2.01 x 10-4 W4 -2.00 x 10-4 W5 1.97 x 10-4 WG = 1.99 x 10-4 w7 -2.03 x 10-4 W8 1.98 x 10-4 Wy = 1.96 x 10-4 W10-1.95 x 10-4 W11- 2.00 x 10-4 W12- 1.97x 10-4 Measurement 4 10 Example 1-5: To illustrate these ideas, we might measure the weight of a flea twelve times with a balance of precision 0.01 x 10-4 N. The results are tabulated in Table 1-2 We shall employ the same symbol, , to denote estimated uncertainty in The mean weight, according to eq this manual. 1-1 is: W1 +W2 +...+ Wn Reporting uncertainties

220AL-E1 x 10-4 N Exercise 1-9. Suppose that the flea weighingexperiment had been terminated after 8 weightings. Find W and ơW. Count how many values fall within ơW and compare with the expected result from a Gaussian - 1.980 x 10-4n Note that we have retained one more significant figure for W , for the purpose of calculating the sample standard deviation which is distribution 96-1980197-1.98021 Exercise 1-10. Table 1-3 shows the x10-4 N results of tossing 10 pennies at once 84 different times. Draw a histogram to depict the results. On your histogram draw arrows to indicate your estimate of the mean value of the number of heads and the spread (See Fig. 1-2). Write down the estimated values of the mean number of heads and the standard deviation 0.02662874 x 10-4 N An uncertainty is really only relevant to one digit; if the 0.02 represents uncertainty, the following 6 in 0.026 is even more so. A common practice is to keep two digits and quote the results of the measurements as W (1.9800.027) x 10-4 N although W (1.98 0.03) x 10-4 N is correct. The Table 1-3. Tossing 10 pennies Number of Heads Frequenc interval of σ w about w includes all values between 2.007 and 1.953 x 10-4 N. Checking Table 1-2, we see that 8 out of the 12 values, or 67%, fall within this spread, which is near the known result for a Gaussian in which case 68% of the measurements fall within tox of the mean 14 16 19 12 4 Turning to the estimated error of the mean, from eq 1-5 Exercise 1-11. Find the mean number o heads and the sample standard deviation in Table 1-3 using eqs 1-3 and 1-4 |Compare your answers with your estimates in exercise 1-10 «w =- 12 = 0.0077 x 10-4 N. Thus our mean value of W 1.980 x 10- 4N has a 68% chance of being within 0.008 x 10-4 N of a mean computed from many experiments

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