My dataset looks like below -
Total Success Percentage 100 65 65% 50 25 50% 30 20 66.6% 50 40 80%
Each row is calculated for a fixed time interval (every hour). I want to detect outliers in this dataset. One simple approach i thought was to apply mean $-$ 3 * stdev
It does catch the outliers but I know that percentages are not normally distributed. Each individual data point is 1/0 (Bernoulli) but I could not find any formula to detect the outliers. So all the data points follow binomial distribution. But I could not find a way to find outliers in binomial distribution.
Is this approach correct? Or is there a better way?