The NASA Lewis Research Center manages for the Department of Energy, the technology and engineering development of large horizontal axis wind turbines. In support of this activity each wind turbine has a variety of information systems used to acquire, process and analyze data. In general four categories of data systems, each responding to a distinct information need, can be identified. The categories are: Control, Technology, Engineering and Performance. The focus of this report is on the information that can be extracted by statistical analysis of data obtained from the Technology and Engineering Information Systems. These systems consist of the following elements: (1) sensors which measure critical parameters (e.g. wind speed and direction, output power, blade loads and component vibrations; (2) remote multiplexing units on each wind turbine which frequency-modulate, multiplex and transmit sensor outputs; (3) on-site instrumentation to record, process and display the sensor output; and (4) statistical analysis of data at the NASA-Lewis Research Center in Cleveland, Ohio. Two examples of the capabilities of these systems are presented. The first illustrates the standardized format for application of statistical analysis to each directly measured parameter. The second shows the use of a model to estimate the variability of the rotor thrust loading, which is a derived parameter.