A sample of size is the result of repeating the same experiment times independently. The observed frequency of an event in the sample is the number of occurrences divided by .
Examples
Example 9.12
A fair coin gives heads with probability . Tossing it times rarely gives exactly heads: samples fluctuate. Typical runs of tosses give frequencies like , , — close to , but not equal. Larger samples fluctuate less: with tosses, observed frequencies are usually within about of .
Example 9.14
A factory claims that only of its parts are defective (). In a sample of parts, are defective: observed frequency . The fluctuation interval is , and falls outside it: the sample casts serious doubt on the claim.