What This Calculator Measures
This calculator reviews Note8 ATT service logs as statistical data. It does not perform device service work. It helps you read error patterns after records are entered. The focus is the calculating error count. You can compare that count with total attempts, successful records, timeouts, and other failures.
Why Error Rates Matter
An error count can look serious or harmless. The rate gives better context. Ten errors in twenty attempts is very different from ten errors in five hundred attempts. The calculator converts each count into a percentage. It also builds a confidence range. That range shows where the real error rate may sit when records are tested.
Using Confidence Bounds
The Wilson confidence interval is used for the main error rate. It works better than a simple normal interval when samples are small. The lower bound gives a safer minimum estimate. The upper bound warns about hidden risk. A high upper bound means review is useful before making decisions from the log sample.
Expected Rate Test
The expected maximum error rate is your benchmark. The calculator compares the observed rate against that benchmark. It then creates a z score and an approximate p value. A small p value means the observed result is less likely to be random. It may show a repeated process issue, data quality problem, or unstable service condition.
Risk Score Logic
The risk score is a guide, not a technical instruction. Calculating errors, timeouts, server errors, and repeated attempts all add pressure. The score is reduced as those rates increase. A low score suggests review is needed. A higher score suggests the log pattern is more stable.
Good Data Practices
Use complete log rows when possible. Do not mix unrelated models, carriers, dates, or tool versions. Keep one sample group focused. Remove duplicate rows unless you want to measure repeat burden. Enter realistic duration values. Extreme times can distort review notes.
Interpreting the Result
Read the result panel from top to bottom. Start with sample size. Check the calculating error rate. Review the confidence interval. Compare the p value with your chosen significance level. Then read the severity note. Export the report when you need a record for team review later.