Lec 01 Sample Survey: Basic Concepts | Sampling, Estimator, Bias, MSE & Sampling Variance

Sample Survey: Basic Concepts of Sampling Theory, including population, sample, sampling unit, sampling frame, sampling design, estimator, bias, MSE and sampling variance. This lecture explains the fundamental terminology and concepts used in Sample Surveys and Sampling Theory. Topics covered in this lecture include: • Sample Survey • Elementary Unit / Sampling Unit • Population – finite and infinite • Sample and Random Sample • Sample Space • Sampling Frame • Sampling Design • Estimator and Estimate • Classification of Sampling – Subjective Sampling – Objective Sampling – Non-probability Sampling – Probability Sampling • Error and Bias of an Estimator • Mean Squared Error (MSE) • Sampling Variance • Standard Error • Relative Standard Error / Coefficient of Variation • Relationship between MSE and Sampling Variance The lecture also explains the basic relationship between bias, sampling variance and mean squared error. #Statistics #SampleSurvey #SamplingTheory #Sampling #Estimator #MSE #SamplingVariance #StatisticsPathshala