If a sampling distribution is centred on the true population parameter but has unnecessary spread, which property should be improved?
Correct answer: A. Precision
- A. Precision
- B. Unbiasedness
- C. Representativeness
- D. Randomization
Explanation
An estimator can be unbiased while still having high variance. Reducing its spread improves precision, whereas unbiasedness concerns whether its average value equals the true parameter.
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Sampling covers population and sample, sampling frames, simple random, systematic, stratified, cluster and convenience methods, along with sampling and non-sampling errors. Estimation includes sample statistics, population parameters, point estimates, confidence intervals and margins of error, with attention to how sample size affects precision.
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