For the last two fill in the blank in part C it is In general,sample means do or do not make good estimates because the mean is an unbiased or a biased estimator The assets (in billions of dollars) of the four wealthiest people in a particular country are 31, 28, 11, 10. Assume thatsamples of size n = 2 are randomly selected with replacement from this population of four values.a. After identifying the 16 different possible samples and finding the mean of each sample, construct a tablerepresenting the sampling distribution of the sample mean. In the table, values of the sample mean that are the samehave been combined.ProbabilityX3129.5282120.5(Type integers or fractions.)b. Compare the mean of the population to the mean of the sampling distribution of the sample mean.the mean of the sample means,The mean of the population,(Round to two decimal places as needed.)The sample meanspopulation means be9isc. Do the sample means target the value of the population mean? In general, do sample means make good estimatesof population means? Why or why not?X19.5191110.510Probabilitydo not targettargetthe population mean. In general, sample meansestimator.make good estimates of The assets (in billions of dollars) of the four wealthiest people in a particular country are 31, 28, 11, 10. Assume thatsamples of size n = 2 are randomly selected with replacement from this population of four values.a. After identifying the 16 different possible samples and finding the mean of each sample, construct a tablerepresenting the sampling distribution of the sample mean. In the table, values of the sample mean that are the samehave been combined.ProbabilityThe mean of the population, is(Round to two decimal places as neX3129.5282120.5(Type integers or fractions.)b. Compare the mean of the population to the mean of the sampling distribution of the sample mean.the mean of the sample means,c. Do the sample means target the vof population means? Why or why nX19.5191110.510The sample meanspopulation means because the meagreater thanless thanProbabilityequal tohean? In general, do sample means make good estimatesgeneral, sample meansnator.make good estimates of

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Answered: The assets (in billions of dollars) of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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For the last two fill in the blank in part C it is

In general,sample means do or do not make good estimates

because the mean is an unbiased or a biased estimator

The assets (in billions of dollars) of the four wealthiest people in a particular country are 31, 28, 11, 10. Assume that
samples of size n = 2 are randomly selected with replacement from this population of four values.
a. After identifying the 16 different possible samples and finding the mean of each sample, construct a table
representing the sampling distribution of the sample mean. In the table, values of the sample mean that are the same
have been combined.
Probability
X
31
29.5
28
21
20.5
(Type integers or fractions.)
b. Compare the mean of the population to the mean of the sampling distribution of the sample mean.
the mean of the sample means,
The mean of the population,
(Round to two decimal places as needed.)
The sample means
population means be
9
is
c. Do the sample means target the value of the population mean? In general, do sample means make good estimates
of population means? Why or why not?
X
19.5
19
11
10.5
10
Probability
do not target
target
the population mean. In general, sample means
estimator.
make good estimates of

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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