A reliability engineer wants to assess the reliability of a new type of muffler and to estimate the proportion of warranty claims that can be expected with a 50,000-mile warranty. The engineer collects failure data on both the old type and the new type of mufflers. Mufflers were inspected for failure every 10,000 miles.
You can use this data to demonstrate Distribution ID Plot (Arbitrary Censoring), Distribution Overview Plot (Arbitrary Censoring), Parametric Distribution Analysis (Arbitrary Censoring), and Nonparametric Distribution Analysis (Arbitrary Censoring).
Worksheet column | Description |
---|---|
StartOld | The start time of the test interval of the old mufflers, in miles |
EndOld | The end time of the test interval of the old mufflers, in miles |
FreqOld | The number of mufflers that failed within the corresponding test interval between StartOld and EndOld |
StartNew | The start time of the test interval of the new mufflers, in miles |
EndNew | The end time of the test interval of the new mufflers, in miles |
FreqNew | The number of mufflers that failed within the test interval between StartNew and EndNew |
Row 1 indicates that 1 old muffler failed and 0 new mufflers failed before the start of the test. Row 5 indicates that 145 old mufflers and 34 new mufflers failed between 40,000 and 50,000 miles. In row 9, 83 old mufflers and 210 new mufflers were still surviving when the test ended after 90,000 miles.