An inferential statistical method for structural design/analysis was developed. On the traditional Monte-Carlo method, input values for structural analysis were assumed random variables with known distribution, mean, and deviation. In practical design, however, distribution, mean, and deviation of these input values are unknown but only small sample of these input values are available. Hence, the Monte-Carlo method for structural analysis was extended to inferential statistics.