Why is a 95% confidence interval usually used and agreed contained by the robustness enclosed space?
Answers:
It's a standard statistical thing to use a "5% significance level". In any kind of statistical analysis where you hold two sets of data and you're trying to work out whether they're different from each other, you calculate how predictable it is that you could have got those results by chance. If that probability is smaller quantity that 5%, you decide you are seeing a real, "significant" difference. It's the same near test results, e.g. blood test results - if 95% of the population have testing results in the reference range and your result is outside that scale, then there is less than a 5% probability that it have happened by chance - i.e. your result is 'significantly' different from a 'normal' person. Source(s): biochemist, work contained by healthcare
Probably because it give's a rather 'round' number when calculating standard deviation (0.1 if my memory serves me right).
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