Estimating analysis of least sample of microwave effects experiment

Seeking for the criterion of the least sample of microwave effects experiment, the research work between sample effect probability and collectivity effect probability is developed by the interval estimating. The Bernoulli distribution of a single microwave effect data is convered to the beta distribution, then expressed by the fractile of the F distribution, so the relational expression relating experimental sample, confidence level, sample effect probability and the collectivity effect probability is derived. The computing result indicates that it is comparatively reasonable when the sample of microwave effects experiment is 10, thus, the confidence lower limit of collectivity effect probability is about 51.6% in 80％confidence level when the sample effect probability is 70％. In this way