Table of percentiles for Parametric Distribution Analysis (Right 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	19.3281	2.83750	14.4953	25.7722
2	22.0674	2.92559	17.0178	28.6154
3	24.0034	2.97261	18.8304	30.5975
4	25.5709	3.00355	20.3126	32.1906
5	26.9212	3.02621	21.5978	33.5566
6	28.1265	3.04403	22.7506	34.7727
7	29.2276	3.05881	23.8074	35.8819
8	30.2501	3.07165	24.7910	36.9113
9	31.2110	3.08326	25.7170	37.8788
10	32.1225	3.09409	26.5962	38.7970
20	39.7837	3.20997	33.9646	46.5999
30	46.4184	3.41015	40.1936	53.6073
40	52.9573	3.75669	46.0833	60.8568
50	59.8995	4.31085	52.0192	68.9735
60	67.7517	5.15910	58.3584	78.6569
70	77.2958	6.45920	65.6184	91.0514
80	90.1863	8.58211	74.8412	108.678
90	111.696	12.8103	89.2100	139.849
91	114.958	13.5112	91.3052	144.738
92	118.610	14.3120	93.6288	150.255
93	122.759	15.2417	96.2426	156.581
94	127.565	16.3437	99.2372	163.979
95	133.276	17.6863	102.753	172.866
96	140.314	19.3873	107.026	183.955
97	149.477	21.6739	112.500	198.608
98	162.590	25.0764	120.175	219.977
99	185.634	31.3868	133.271	258.570

Interpretation

For the engine windings data, at a temperature of 80° C, approximately 1% of the engine windings will fail at 19.3281 hours.