I am going to compare a building's technical performance by conducting an on-site survey of the building and compare these data on the standard requirements of the building. Do I need any statistical analysis?
Carrying out a statistical analysis would only really make sense if you had a sample data set of several (many) buildings rather than an individual building to compare with the standard requirements. How else would you know how accurately the standards should be followed?
You don't give us enough information in order to answer the question properly. In some cases you may need statistical analysis indeed. If for example, you are asked to verify that the strength of the concrete of the building is the one required, then you would measure the strength of concrete in various locations of the building (various floors, various locations within the same floor) and then you would do some statistical analysis to the results obtained. If you had 20 samples, then you would have 20 values of the strength and you would calculate the mean, the standard deviation, etc, as described by the codes, in order to determine if the concrete strength is the right one for you and it complies with the standard requirements.
You need to tell us what you mean by "building's technical performance" in order to be able to give better answers on this question!
Exactly you have to do Statistical Analysis before startup the Design Phase
because of the Soil Load bearing Capacity have to find and -
Also Feasibility study is most important then only you can decide the Type of Buildings .
After these , you can compare couple of Area of Residential , Commercial, Industrial Building's Technical Performance with all the Standard Requirements.
It is not recommended to evaluate a building's technical performance by only conducting an on-site survey .
Your survey tells you only something about the building "AT THAT TIME". It says nothing about his behavior in the future. It is quit possible that the concrete is contaminated with ASR (alkali-silica-reaction), but that it is not visible yet. An other example : if you want to check if the compressive strength of the concrete is ok you need to know the behavior on the long term.
The technical performance of a building should be checked by recalculating the building. The input of the calculations can be supported by field data (eg compressive strength of concrete, deflection, curvature, as build dimensions of the components, measurements of the concrete cover on the rebars). All the field data are subjected to statistical interpretations.
At the moment we are assessing the technical performance of the buildings of the nuclear power station of DOEL in Belgium. We use theoretical models, corrected with field data.