Method of determining typical room temperature distribution ratiobased on statistical sampling principle

Based on the statistical sampling principle, taking the room temperature collection system of a community in Puyang, Henan Province as the research object, this paper selects different sampling methods, infers the room temperature distribution of the community through the proportional interval estimation, and compares the inferential results under different sampling ratios. The results show that the stratified random sampling has obvious advantages over the stratified systematic sampling and the cluster sampling. When the room temperature sampling ratio is greater than 8%, it can meet the requirements of various sub statistical indicators. The research results can provide reference and basis for determining the typical room temperature ratio.