COMPARATIVE ANALYSIS OF THE EFFICIENCY OF SIMPLE RANDOM SAMPLING AND STRATIFIED RANDOM SAMPLING TECHNIQUES USING DATA FROM 2006 POPULATION FIGURES OF THE SIX SOUTH-SOUTH STATES OF NIGERIA

This work compares the efficiency of the estimators in two probability sampling techniques namely: Simple Random Sampling and Stratified Random Sampling, using the 2006 population figures of the six states in the South-South geopolitical Zone of Nigeria. A table of random digit was used to select appropriate samples for each of these techniques. The selected samples were further used to estimate the population means, variance, standard error and their confidence intervals. The resulting estimates obtained from each technique were compared with the actual population figures. This comparison revealed that Stratified Random Sampling techniques proved more efficient than the simple Random Sampling using the minimum variance criterion. This interesting comparative result obtained at both 95% and 99% Confidence Intervals are shown in tables 3 and 4 in this work.