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 actually does contain the population parameter	Confidence level
Round up to the next higher whole number	Round-off rule for determining sample size
x-bar-E and x-bar +E	Confidence interval limits
N-1	Degrees of freedom
Sampling distribution for standard deviation or variance	Bootstrapping
Nonparametric method used for choosing an appropriate distribution	Chi-square distribution

Expert Solution

The correctly matched vocab and definition are as below:

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 actually does contain the population parameter	Confidence level
Round up to the next higher whole number	Round-off rule for determining sample size
x-bar-E and x-bar +E	Confidence interval limits
N-1	Degrees of freedom
Sampling distribution for standard deviation or variance	Bootstrapping
Nonparametric method used for choosing an appropriate distribution	Chi-square distribution

orchestra answered 1 year ago

A point estimator is a sample statistic that provides a point estimate of a population parameter....

A point estimator is a sample statistic that provides a point estimate of a population parameter. Complete the following statements about point estimators. 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...

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. 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...

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

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.

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

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

1) A) A point estimate: is a single value estimate for a population [ Select ]...

1) A) A point estimate: is a single value estimate for a population [ Select ] ["statistic", "parameter"] . To estimate the population mean [ Select ] ["µ", "x-bar"] we use the sample mean [ Select ] ["µ", "x-bar"] . To estimate the population proportion [ Select ] ["p", "p-hat"] we use the sample proportion [ Select ] ["p", "p-hat"] . B) The central limit theorem is important in statistics because it allows us to use the Normal distribution to...

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

Match the terms Population Statistic Distribution Parameter Sample 1.A fixed measure which describes a population of...

Match the terms Population Statistic Distribution Parameter Sample 1.A fixed measure which describes a population of interest 2.Numbers that summarize data from a sample 3. One or more observations or individuals selected from a population 4. All members from a specified group of interest 5. A graph of frequencies or probabilities of values taken by a variable

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