Which of the following is a biased estimator? That is, which of the following does not target the population parameter?

Choose the correct answer below.

Mean, Proportion, Median, Variance

Expert Solution

Answer:

Given Data

The answer is median because the mean of the sample median doesnot give an estimate of the population median.

But if this is a multiple correct mcq then you can also choose variance because the sample variance with divisor

n sample size) is a biased estimator of the population variance. Sample variance with divisor n-1 is unbised for population variance.

orchestra answered 1 year ago

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

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....

Question: State and define two properties of an estimator of a population parameter that are desirable.

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 the sample does not represent the population, it is called a biased sample.

In a question involving a hypothesis test having the population mean as the target parameter, you...

In a question involving a hypothesis test having the population mean as the target parameter, you are given the sample size, n, the assumed population mean, the significance of the test, alpha, whether it is a right-tailed, left-tailed, or two-tailed test, and the result of the test (reject or do not reject the null hypothesis.) Show how you can use this information to find bounds on the sample itself. You may put in simple values for the information given if...

Show that ?̂??? is an unbiased estimator of minimum variance of parameter ? for a binomial...

Show that ?̂??? is an unbiased estimator of minimum variance of parameter ? for a binomial distribution with parameters ? (known) and ?.

What is a sampling distribution? What is a point estimator of a parameter?

1. The point estimator for the population standard deviation σ is _ and the point estimator for the population mean μ is __.

1. The point estimator for the population standard deviation σ is ___ and the point estimator for the population mean μ is ____. 2. To estimate the value of a population parameter using a sample, we would calculate... a) a simple random sample, b) a sample statistic, c) a test statistic, d) or both a and b 3. A simple random sample from a finite data set must meet which condition(s)/requirements? a) you may only sample without replacement; sampling with...

Use an example to illustrate the difference between parameter, estimator, and estimate.

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