The aim of this study is to investigate the significant level of parameters for synthetics data generated from Computer Simulation Technology (CST) software that replicates sea bed logging environment using ANOVA analysis. Sea bed logging (SBL) is a technique of finding resistive layers under sea bed by transmitting low frequency EM waves through sea water and sediment. Low frequency is used to obtain greater wavelength for longer wave penetration. In this work frequency used are 0.5Hz, 0.25Hz, 0.125Hz and 0.0625Hz and sediment thickness are varied from 1000m to 3000m incremented every 250m. The acquired synthetics data have been processed using cubic spline interpolation technique with step sizes 4,8,12 and 16 and mean square errors (MSE) are calculated between the original and interpolated data. ANOVA analyses are applied to these MSE to investigate whether the parameters such as sediment thickness, frequency and spline step sizes are significant or not. It was found all the three parameters of interests are significant to the MSE calculated. © 2012 AICIT.