The Impact of Sample Size on the Probability Samples to Estimate the Total population Number

Abstract

Objectives: to determine the best sampling technique based on the allowable error. Method: Data of people infected with malaria in Khartoum State during the year 2019 was considered. The data were taken from the Ministry of Health, Khartoum State Sudan, where the population is divided into four stratums. The mean, the total number, and the confidence interval were estimated. A comparison between simple, stratified and systemic random sampling in terms of the accuracy of the estimate , and the effect of marginal error in determining the sample size was known. Findings: The study found that when a smaller allowable error is used, the sample size increases and the estimates are more accurate. Novelty: Through the study, we recommend the researchers for using stratified sampling with the optimum distribution to get better accuracy. Keywords: Allowable Error, Stratified Random Sampling, Population Total Number, Mean Variance, Sample Size