Algorithms and computer programs are developed for calculating statistical moments, densities, and distribution functions as well as correlation matrices and regressions for statistical analysis of the FGGE (the First GARP Global Experiment) cloud data. Seasonal-geographical distributions of cloud coverage and top heights over continents are constructed. Cloud top heights and cloud coverage over continents are found to permit approximation by the log-normal law. Such approximations are made following Kolmogorov's criterion at a significance level of 0.95. Results from this study can be used to interpret data of satellite remote sensing in the optical wavelength range.