Question
In: Math
An unbiased estimator is a statistic that targets the value of the of the population parameter
Fill in the blanks
An unbiased estimator is a statistic that targets the value of the of the population parameter such that the sampling distribution of the statistic has a _______ equal to the _______ of the corresponding parameter.
A. mean, mean
B. standard deviation, standard deviation
C. mean, standard deviation
D. range, range/4
Solutions
Expert Solution
An unbiased estimator is a statistic, that targets the value of the population parameter such that the sampling distributio nfo the statistic has mean equals to the mean of the corresponding parameter.
Option A, mean; mean
milcah answered 2 years agoRelated Solutions
1. A statistic is an unbiased estimator of a population parameter. This means that ... A....
1. A statistic is an unbiased estimator of a population
parameter. This means that ...
A. ... the population mean is equal to the mean of the
parameter.
B. ... the population is normal and the population mean is equal
to the statistic.
C. ... the population is normal, the population mean is equal to
the statistic mean, and the population standard deviation is equal
to the parameter standard deviation.
D. ... the statistic mean is equal to the parameter....
does the "unbiased" aspect of unbiased estimator indicate that it underestimates the population value with same...
does the "unbiased" aspect of unbiased estimator
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A point estimator is a sample statistic that provides a point
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Given two unbiased estimators of the same population parameter,
the estimator with thelarger expected value is
consistent .
A point estimator is said to bebiased if itsexpected
value is equal to the value of the population parameter
that it estimates.
A point estimator is said to beunbiased if, as the
sample size is , the estimator tends...
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match vocab with definition A single value used to approximate a population parameter Point estimator The...
match vocab with definition
A single value used to approximate a population
parameter
Point estimator
The number on the borderline separating sample
statistics that are likely to occur from those that a unlikely to
occur
Critical value
The maximum likely difference between the observed
sample and the true value of the population
Margin of error
A range of values used to estimate the true value the
parameter
Confidence interval
The probability of the proportion of times that the
confidence interval...
When sample size gets larger, an unbiased point estimator gets closer and closer to the parameter...
When sample size gets larger, an unbiased point estimator gets
closer and closer to the parameter it estimates. This property is
called:
a.
consistency
b.
relative estimation
c.
efficiency
d.
unbiased efficiency
Question: State and define two properties of an estimator of a population parameter that are desirable.
Question: State and define two properties of an estimator of a
population parameter that are desirable.
The Gauss-Markov theorem says that the OLS estimator is the best linear unbiased estimator.
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