标题: Reading 10: Sampling and Estimation-LOS g 习题精选 [打印本页]
作者: 1215 时间: 2011-3-4 14:45 标题: [2011]Session 3-Reading 10: Sampling and Estimation-LOS g 习题精选
Session 3: Quantitative Methods: Application
Reading 10: Sampling and Estimation
LOS g: Identify and describe the desirable properties of an estimator (unbiased, efficient, consistent).
The sample mean is an unbiased estimator of the population mean because the:
|
A) |
expected value of the sample mean is equal to the population mean. | |
|
B) |
sampling distribution of the sample mean has the smallest variance of any other unbiased estimators of the population mean. | |
|
C) |
sample mean provides a more accurate estimate of the population mean as the sample size increases. | |
An unbiased estimator is one for which the expected value of the estimator is equal to the parameter you are trying to estimate.
作者: 1215 时间: 2011-3-4 14:45
The sample mean is a consistent estimator of the population mean because the:
|
A) |
sampling distribution of the sample mean has the smallest variance of any other unbiased estimators of the population mean. | |
|
B) |
expected value of the sample mean is equal to the population mean. | |
|
C) |
sample mean provides a more accurate estimate of the population mean as the sample size increases. | |
A consistent estimator provides a more accurate estimate of the parameter as the sample size increases.
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