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What are the properties of good estimators?
There are four main properties associated with a "good" estimator. These are: 1) Unbiasedness: the expected value of the estimator (or the mean of the estimator) is simply the figure being estimated. In statistical terms, E(estimate of Y) = Y. 2) Consistency: the estimator converges in probability with the estimated figure. In other words, as the sample size approaches the population size, the estimator gets closer and closer to the estimated. 3) Efficiency: The estimator has a low variance, usually relative to other estimators, which is called relative efficiency. Otherwise, the variance of the estimator is minimized. 4) Robustness: The mean-squared errors of the estimator are minimized relative to other estimators.
What is a subset from a larger population?
in statistics a sample is a subset of population..
How does halving a sample affect the weight of the sample?
If the sample is homogeneous, then half of its volume has half of its mass and half of its weight.
Why are CD sample rates 44.1 KHz?
because human hearing is about 20kHz. so according to sample theorem, it has to be twice..
Sample company slogan in Financial planning?
yes
