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Scottish Household Survey Travel Diary results
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Table 16
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"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%)
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|
Sub- sample size.
(i.e the "n=" value corresponding to 100%)
|
Estimate
|
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5% or 95%
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10% or 90%
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15% or 85%
|
20% or 80%
|
25% or 75%
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30% or 70%
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35% or 65%
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40% or 60%
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45% or 55%
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50%
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|
percentage points ( + / - )
|
|
100
|
4.7
|
6.5
|
7.7
|
8.6
|
9.3
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9.9
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10.3
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10.6
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10.7
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10.8
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|
200
|
3.3
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4.6
|
5.4
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6.1
|
6.6
|
7.0
|
7.3
|
7.5
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7.6
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7.6
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|
300
|
2.7
|
3.7
|
4.4
|
5.0
|
5.4
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5.7
|
5.9
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6.1
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6.2
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6.2
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|
400
|
2.3
|
3.2
|
3.8
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4.3
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4.7
|
4.9
|
5.1
|
5.3
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5.4
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5.4
|
|
500
|
2.1
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2.9
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3.4
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3.9
|
4.2
|
4.4
|
4.6
|
4.7
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4.8
|
4.8
|
|
600
|
1.9
|
2.6
|
3.1
|
3.5
|
3.8
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4.0
|
4.2
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4.3
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4.4
|
4.4
|
|
700
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1.8
|
2.4
|
2.9
|
3.3
|
3.5
|
3.7
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3.9
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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
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2.7
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3.0
|
3.1
|
3.3
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3.3
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3.4
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3.4
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|
1,200
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1.4
|
1.9
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2.2
|
2.5
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2.7
|
2.9
|
3.0
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3.0
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3.1
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3.1
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|
1,400
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1.3
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1.7
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2.1
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2.3
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2.5
|
2.6
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2.7
|
2.8
|
2.9
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2.9
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1,600
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1.2
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1.6
|
1.9
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2.2
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2.3
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2.5
|
2.6
|
2.6
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2.7
|
2.7
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|
1,800
|
1.1
|
1.5
|
1.8
|
2.0
|
2.2
|
2.3
|
2.4
|
2.5
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2.5
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2.5
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|
2,000
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1.1
|
1.4
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1.7
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1.9
|
2.1
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2.2
|
2.3
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2.4
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2.4
|
2.4
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|
2,500
|
0.9
|
1.3
|
1.5
|
1.7
|
1.9
|
2.0
|
2.1
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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
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1.8
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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
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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
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|
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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