Classify the sample statistics as biased or unbiased estimators of the corresponding parameters. For example, if the sample mean is an unbiased estimator of the population mean, then classify it as an unbiased estimator. Some of the choices may be neither biased estimators Unbiased estimators. Sample statistics are given below.

a. population mean

b. population standard deviation

c. sample variance

d. sample proportion

e. population variance

f. sample standard deviation

g. Sample mean

h. Population Proportion

i. Sample median

Question

Mathematics

Ryland Wheeler

19 February, 01:54

Classify the sample statistics as biased or unbiased estimators of the corresponding parameters. For example, if the sample mean is an unbiased estimator of the population mean, then classify it as an unbiased estimator. Some of the choices may be neither biased estimators Unbiased estimators. Sample statistics are given below.

a. population mean

b. population standard deviation

c. sample variance

d. sample proportion

e. population variance

f. sample standard deviation

g. Sample mean

h. Population Proportion

i. Sample median

+3

Answers (1)

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Lara Baldwin · Answer 1

Biased estimators are Sample median & sample standard deviation

Unbiased are sample mean sample variance and sample proportion

Neither choice include population mean, standard deviation proportion and variance