Table of survival probabilities for Parametric Distribution Analysis (Arbitrary Censoring)

The survival probabilities show the probability that the product survives until a particular time. Use these values to determine whether your product meets reliability requirements, or to compare the reliability of 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 Survival Probabilities

		95.0% Normal CI
Time	Probability	Lower	Upper
50000	0.946704	0.935996	0.955664

Interpretation

For the muffler data, 0.946704, or 94.6704%, of the new type of mufflers lasted at least 50,000 miles. In other words, the probability that the mufflers have not failed by 50,000 miles is 0.946704.