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 | |  | 24 November 2009 |
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| | | 24 November 2009 |
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Table 15 "95% confidence limits" for estimates which are based on SHS sub-samples
of various sizes
e.g. an estimate of 55% which is based on a sample of 800
(I.e. the n corresponding to "100%" is 800)
has 95% confidence limits of 55% +/- 3.8%-points
(i.e. 51.2% to 58.8%)
|
Sub sample size. (i.e the "n=" value corresponding to 100%) |
Estimate |
|||||||||
|
5% or 95% |
10% or 90% |
15% or 85% |
20%or 80% |
25% or 75% |
30% or 70% |
35% or 65% |
40% or 60% |
45% or 55% |
50% |
|
|
percentage points ( + / - ) |
||||||||||
|
100 |
4.7 |
6.5 |
7.7 |
8.6 |
9.3 |
9.9 |
10.3 |
10.6 |
10.7 |
10.8 |
|
200 |
3.3 |
4.6 |
5.4 |
6.1 |
6.6 |
7.0 |
7.3 |
7.5 |
7.6 |
7.6 |
|
300 |
2.7 |
3.7 |
4.4 |
5.0 |
5.4 |
5.7 |
5.9 |
6.1 |
6.2 |
6.2 |
|
400 |
2.3 |
3.2 |
3.8 |
4.3 |
4.7 |
4.9 |
5.1 |
5.3 |
5.4 |
5.4 |
|
500 |
2.1 |
2.9 |
3.4 |
3.9 |
4.2 |
4.4 |
4.6 |
4.7 |
4.8 |
4.8 |
|
600 |
1.9 |
2.6 |
3.1 |
3.5 |
3.8 |
4.0 |
4.2 |
4.3 |
4.4 |
4.4 |
|
700 |
1.8 |
2.4 |
2.9 |
3.3 |
3.5 |
3.7 |
3.9 |
4.0 |
4.1 |
4.1 |
|
800 |
1.7 |
2.3 |
2.7 |
3.0 |
3.3 |
3.5 |
3.6 |
3.7 |
3.8 |
3.8 |
|
900 |
1.6 |
2.2 |
2.6 |
2.9 |
3.1 |
3.3 |
3.4 |
3.5 |
3.6 |
3.6 |
|
1,000 |
1.5 |
2.0 |
2.4 |
2.7 |
3.0 |
3.1 |
3.3 |
3.3 |
3.4 |
3.4 |
|
1,200 |
1.4 |
1.9 |
2.2 |
2.5 |
2.7 |
2.9 |
3.0 |
3.0 |
3.1 |
3.1 |
|
1,400 |
1.3 |
1.7 |
2.1 |
2.3 |
2.5 |
2.6 |
2.7 |
2.8 |
2.9 |
2.9 |
|
1,600 |
1.2 |
1.6 |
1.9 |
2.2 |
2.3 |
2.5 |
2.6 |
2.6 |
2.7 |
2.7 |
|
1,800 |
1.1 |
1.5 |
1.8 |
2.0 |
2.2 |
2.3 |
2.4 |
2.5 |
2.5 |
2.5 |
|
2,000 |
1.1 |
1.4 |
1.7 |
1.9 |
2.1 |
2.2 |
2.3 |
2.4 |
2.4 |
2.4 |
|
2,500 |
0.9 |
1.3 |
1.5 |
1.7 |
1.9 |
2.0 |
2.1 |
2.1 |
2.1 |
2.2 |
|
3,000 |
0.9 |
1.2 |
1.4 |
1.6 |
1.7 |
1.8 |
1.9 |
1.9 |
2.0 |
2.0 |
|
3,500 |
0.8 |
1.1 |
1.3 |
1.5 |
1.6 |
1.7 |
1.7 |
1.8 |
1.8 |
1.8 |
|
4,000 |
0.7 |
1.0 |
1.2 |
1.4 |
1.5 |
1.6 |
1.6 |
1.7 |
1.7 |
1.7 |
|
5,000 |
0.7 |
0.9 |
1.1 |
1.2 |
1.3 |
1.4 |
1.5 |
1.5 |
1.5 |
1.5 |
|
6,000 |
0.6 |
0.8 |
1.0 |
1.1 |
1.2 |
1.3 |
1.3 |
1.4 |
1.4 |
1.4 |
|
7,000 |
0.6 |
0.8 |
0.9 |
1.0 |
1.1 |
1.2 |
1.2 |
1.3 |
1.3 |
1.3 |
|
8,000 |
0.5 |
0.7 |
0.9 |
1.0 |
1.0 |
1.1 |
1.1 |
1.2 |
1.2 |
1.2 |
|
9,000 |
0.5 |
0.7 |
0.8 |
0.9 |
1.0 |
1.0 |
1.1 |
1.1 |
1.1 |
1.1 |
|
10,000 |
0.5 |
0.6 |
0.8 |
0.9 |
0.9 |
1.0 |
1.0 |
1.1 |
1.1 |
1.1 |
|
12,000 |
0.4 |
0.6 |
0.7 |
0.8 |
0.9 |
0.9 |
0.9 |
1.0 |
1.0 |
1.0 |
|
14,000 |
0.4 |
0.5 |
0.7 |
0.7 |
0.8 |
0.8 |
0.9 |
0.9 |
0.9 |
0.9 |
|
16,000 |
0.4 |
0.5 |
0.6 |
0.7 |
0.7 |
0.8 |
0.8 |
0.8 |
0.8 |
0.9 |
|
18,000 |
0.4 |
0.5 |
0.6 |
0.6 |
0.7 |
0.7 |
0.8 |
0.8 |
0.8 |
0.8 |
|
20,000 |
0.3 |
0.5 |
0.5 |
0.6 |
0.7 |
0.7 |
0.7 |
0.7 |
0.8 |
0.8 |
|
25,000 |
0.3 |
0.4 |
0.5 |
0.5 |
0.6 |
0.6 |
0.7 |
0.7 |
0.7 |
0.7 |
|
30,000 |
0.3 |
0.4 |
0.4 |
0.5 |
0.5 |
0.6 |
0.6 |
0.6 |
0.6 |
0.6 |
|
35,000 |
0.3 |
0.3 |
0.4 |
0.5 |
0.5 |
0.5 |
0.5 |
0.6 |
0.6 |
0.6 |
|
40,000 |
0.2 |
0.3 |
0.4 |
0.4 |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
|
45,000 |
0.2 |
0.3 |
0.4 |
0.4 |
0.4 |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
|
50,000 |
0.2 |
0.3 |
0.3 |
0.4 |
0.4 |
0.4 |
0.5 |
0.5 |
0.5 |
0.5 |
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