Table of percentiles for Parametric Distribution Analysis (Arbitrary Censoring)

The percentiles indicate the age by which a percentage of the population is expected to fail. Use the percentile values to determine whether your product meets reliability requirements, or to compare the reliability for two or more designs of a product.

Use these values only when the distribution fits the data adequately. If the distribution does not fit the data well, these estimates may not be accurate. Use the distribution ID plot, probability plot, and goodness-of-fit measures to determine whether the distribution adequately fits the data.

Example output

Table of Percentiles

		Standard Error	95.0% Normal CI
Percent	Percentile	Standard Error	Lower	Upper
1	37265.1	938.485	35470.3	39150.6
2	42060.6	910.590	40313.2	43883.7
3	45163.8	884.871	43462.4	46931.9
4	47516.0	861.886	45856.4	49235.7
5	49434.9	841.147	47813.5	51111.3
6	51068.9	822.219	49482.6	52706.1
7	52500.3	804.776	50946.5	54101.6
8	53779.7	788.572	52256.1	55347.7
9	54940.5	773.424	53445.3	56477.5
10	56006.1	759.186	54537.7	57514.0
20	63788.2	649.873	62527.1	65074.7
30	69192.0	576.979	68070.3	70332.1
40	73638.2	528.302	72609.9	74680.9
50	77639.9	501.312	76663.5	78628.7
60	81489.1	497.212	80520.4	82469.5
70	85439.7	519.747	84427.0	86464.5
80	89849.4	577.132	88725.4	90987.7
90	95605.5	695.279	94252.5	96978.0
91	96350.1	713.480	94961.8	97758.6
92	97151.1	733.704	95723.7	98599.9
93	98022.8	756.429	96551.4	99516.6
94	98985.2	782.340	97463.6	100530
95	100069	812.488	98488.8	101674
96	101323	848.595	99673.3	103000
97	102838	893.813	101101	104605
98	104808	955.006	102952	106696
99	107814	1053.11	105770	109898

Interpretation

For the muffler data, between 5% and 6% of the new type of mufflers will fail before 50,000 miles. Therefore, between 5% and 6% of the new type of mufflers will fail in the warranty period.