The figures from the 5-percent sample tabulations are subject to Sampling Variability, which can be estimated roughly from the standard errors shown in tables H and J below.
Table H. Rough Approximation to Standard Error of Estimated Number
Estimated number |
Standard error |
50 |
30 |
100 |
40 |
250 |
60 |
500 |
90 |
1,000 |
120 |
2,500 |
200 |
5,000 |
280 |
10,000 |
390 |
15,000 |
480 |
25,000 |
620 |
50,000 |
880 |
Table J. Rough Approximation to Standard Error of Estimated Percentage
(Range of 2 chances out of 3)
Estimated percentage |
Base of percentage |
500 |
1,000 |
2,500 |
10,000 |
25,000 |
100,000 |
2 or 98 |
3.3 |
2.3 |
1.3 |
0.8 |
0.3 |
0.3 |
5 or 95 |
5.0 |
4.0 |
2.3 |
1.0 |
0.5 |
0.3 |
10 or 90 |
7.0 |
5.0 |
3.0 |
1.5 |
0.8 |
0.5 |
25 or 75 |
10.0 |
6.8 |
3.8 |
1.8 |
1.0 |
0.5 |
50 |
11.0 |
7.8 |
4.0 |
2.0 |
1.3 |
0.8 |
These tables
^{2} do not reflect the effect of response variance, processing variance, or bias arising in the collection, processing, and estimation steps. Estimates of the magnitude of some of these factors in the total error are being evaluated and will be published at a later date. The chances are about two out of three that the difference due to Sampling Variability between an estimate and the figure that would have been obtained from a complete count of the population is less than the standard error. The chances are about 19 out of 20 that the difference is less than twice the standard error and about 99 out of 100 that it is less than 2 ½ times the standard error. The amount by which the estimated standard error must be multiplied to obtain other odds deemed more appropriate can be found in most statistical textbooks.
Table H shows rough standard errors of estimated numbers up to 50,000. The relative sampling errors of larger estimated numbers are somewhat smaller than for 50,000. For estimated numbers above 50,000, however, the nonsampling errors, e.g., response errors and processing errors, may have an. increasingly Important effect on the total error. Table J shows rough standard errors of data in the form of percentages. Linear interpolation in tables H and J will provide approximate results that are satisfactory for most purposes.
For a discussion of the Sampling Variability of medians and means and of the method for obtaining standard errors of differences between two estimates, see 1960 Census of Population, Volume I, Characteristics of the Population, Part 1, United States Summary.
Illustration: Table 1.5 shows that there were 35,800 men married 1 year who were sons of the household head, and married with wife present. Linear interpolation in table H shows that an approximation to the standard error for an estimate of 35,800 is 732. This means that the chances are 2 out of 3 that the results of a complete count of all men married 1 year who were sons of the household head and married with wife present, would not differ by more than 732 from a sample estimate. Furthermore, the chances are about 99 in 100 that the difference is less than 1,830 which is 2 ½ times the standard error determined from table H.