Confidence Level
01 Definition
Confidence Level meaning: The chosen probability that a test result is not due to random chance.
Confidence level is the threshold you set for how sure you want to be before trusting a result, often 95 percent. A 95 percent level means that if you repeated the test many times, the interval would capture the true value in about 95 percent of them. It reflects your tolerance for a false positive.
Why it matters
How Confidence Level fits the work
Setting a confidence level before a test defines how much certainty you require, guarding against calling a winner on results that random noise could explain.
In context
We set a 95 percent confidence level, so we would only declare a winner if the result was very unlikely to come from chance.
Practical note
A higher confidence level reduces false positives but needs more data and time. The 95 percent standard is common, not a law, so pick a level that fits your risk.