Random Sampling Mean as an Unbiased Estimator of Population Mean | Statistics | Statisticsplaylist

Описание: Random Sampling Mean as an Unbiased Estimator of Population Mean | Statistics | Statisticsplaylist



In statistics, the sample mean is a key estimator used to infer the population mean. When samples are selected randomly, the expected value of the sample mean equals the true population mean. This property is called unbiasedness. In this video/lesson, we will understand why the sample mean is an unbiased estimator, explore its mathematical proof, and learn its significance in statistical estimation and inference.


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🔑 Keywords:

Random sample

Sample mean

Population mean

Unbiased estimator

Statistical estimation

Properties of estimators

Expectation of sample mean

Sampling theory

Estimator bias

Mean estimation



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🏷️ Hashtags:

#Statistics #SampleMean #UnbiasedEstimator #PopulationMean #RandomSampling #EstimationTheory #StatisticalInference #BScStatistics #SamplingDistribution #MathsPerfection