Statistics MCQs, Analysis, Software
Post about Estimates and Estimation that include point estimation, interval estimation, level of significance, Properties of estimators, and real-life examples about estimate and estimation.
The unbiasedness of the estimator is probably the most important property that a good estimator should possess. In statistics, the bias (or bias function) of an estimator is the difference between this estimator’s expected value and the true value of the parameter being estimated. An estimator is said to be …
The standard error (SE) of a statistic is the standard deviation of the sampling distribution of that statistic. The standard error of sampling reflects how much sampling fluctuation a statistic will show. The inferential statistics (deductive statistics) involved in constructing confidence intervals and significance testing are based on standard errors. …
The Post is about Introduction to Estimation and Types of Estimation in the Subject of Statistics. Let us discuss Estimation and Types of Estimation in Statistics. The procedure of making a judgment or decision about a population parameter is referred to as statistical estimation or simply estimation. Statistical estimation procedures …