• Dr. Amaresh Ranjan

Applied statistics is integral to research in social sciences, agriculture, health, and business, with survey research forming the cornerstone of empirical inquiry. The validity and generalizability of survey findings are critically dependent on the appropriateness of both sampling techniques and sample size determination, as the choice of method must align with the specific research context. Employing unsuitable sampling strategies or inadequate sample sizes can yield biased or unreliable conclusions. This study presents a rigorous overview of fundamental sampling methods—including purposive, simple random, stratified random, systematic random, and quota sampling—detailing their application to diverse research scenarios. Additionally, it delineates essential statistical concepts such as population, sample, randomization, confidence interval, and statistical power, and articulates the methodological considerations underlying sample size calculation, thereby establishing robust standards for survey-based statistical inference.

Sampling, Sample Size, Confidence Interval, Level of Significance

"An overview of sampling methods and sample size determination in statistical studies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.c608-c618, August-2025, Available :http://www.jetir.org/papers/JETIR2508284.pdf

"An overview of sampling methods and sample size determination in statistical studies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppc608-c618, August-2025, Available at : http://www.jetir.org/papers/JETIR2508284.pdf