Advances and Applications in Statistics © 2021 Pushpa Publishing House, Prayagraj, India http://www.pphmj.com http://dx.doi.org/10.17654/AS068020125 Volume 68, Number 2, 2021, Pages 125-134 ISSN: 0972-3617 Received: May 29, 2020; Accepted: August 4, 2020 2020 Mathematics Subject Classification: 62G99. Keywords and phrases: unbiased ratio estimator, mean square error (MSE), non-response. ∗ Corresponding author ON UNBIASED RATIO ESTIMATOR OF FINITE POPULATION TOTAL IN STRATIFIED RANDOM SAMPLING UNDER NON-RESPONSE David Oyoo 1,∗ , Moses Manene 1 , Christopher Ouma 2 and George Muhua 1 1 School of Mathematics University of Nairobi Kenya e-mail: koyoo2010@gmail.com 2 School of Pure and Applied Sciences Kenyatta University Kenya Abstract An unbiased ratio-type estimator has been considered by Oyoo et al. [8] in estimating finite population total under non-response in stratified random sampling. In their paper, Oyoo et al. [8] assumes that variation in the ratio , i i X Y R = ( ) N i , , 3 , 2 , 1 … = is much higher than variation in the response variable, Y and in the auxiliary variable, X and therefore, while obtaining the expression for the variance, variations in Y and X are considered negligible. In this paper, however, we consider variations in R, Y and X and use the result by Hartley and Ross [3] and Goodman and Hartley [9] to obtain the expression for variance the estimator by Oyoo et al. [8]. We examine performance of