Logistic Distribution is inappropriate for modeling lifetime data because the left-hand limit of the distribution extends to negative infinity. It provided that the distribution in question has a relatively high mean and a relatively small location parameter, the issue of negative failure times should not present itself as a problem. Its cumulative distribution function is the logistic function, which appears in logistic regression and feedforward neural networks. It resembles the normal distribution in shape but has heavier tails. It plays the same role in logistic regression as the normal distribution does in probit regression.