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Statistical Significance
nStatistical significance: Significance levels show you how likely a result is due to chance. The most common level, used to mean something is good enough to be believed, is .95. This means that the finding has a 95% chance of being true. However, this value is also used in a misleading way. No statistical package will show you "95%" or ".95" to indicate this level. Instead it will show you ".05," meaning that the finding has a five percent (.05) chance of not being true, which is the converse of a 95% chance of being true. It doesn't mean the finding is important or that it has any decision-making utility.
nConfidence Interval: the margin of certainty that mistakes are not made. This interval is 95% which means the study has a 3% to 14% margin of error depending on the sample size.
|
Survey |
Margin |
|
2,000 |
2 |
|
1,500 |
3 |
|
1,000 |
3 |
|
900 |
3 |
|
800 |
3 |
|
700 |
4 |
|
600 |
4 |
|
500 |
4 |
|
400 |
5 |
|
300 |
6 |
|
200 |
7 |
|
100 |
10 |
|
50 |
14 |
| *Assumes a 95% level of confidence |
|
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Source: Cornell University