These randomly selected households are surveyed. The numbers of people in the households are 2, 6, and 7. Assume that samples of size n = 2 are randomly selected with replacement from the population of 2, 6, and 7. Listed below are nine different samples. Complete (a) through (c). 2,2. 2,6. 2,7. 6,2. 6,6. 6,7. 7,2. 7,6. 7,7. Find the variance of each of the nine samples, then summarize the sampling distribution of the variances in the format of a table representing the probability distribution of the distinct variance values. (Type an integer or fraction. Use ascending order of the sample variances.) Compare the population variance to the mean of the sample variances. Choose the correct answer below. The population variance is equal to the square of the mean of the sample variances. The population variance is equal to the square root of the mean of the sample variances. The population variance is equal to the mean of the sample variances. Do the sample variances target the value of the population variance? In general, do the sample variances make good estimators of population variances? Why or why not? The sample variances do not target the population variance; therefore, sample variances do not make good estimators of population variances. The sample variances target the population variances; therefore, sample variances make good estimators of population variances. The sample variances do not target the population variance; therefore, sample variances make good estimators of population variances.

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Description: These randomly selected households are surveyed. The numbers of people in the households are 2, 6, and 7. Assume that samples of size n = 2 are randomly selected with replacement from the population of 2, 6, and 7. Listed below are nine different sam

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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These randomly selected households are surveyed. The numbers of people in the households are 2, 6, and 7. Assume that samples of size n = 2 are randomly selected with replacement from the population of 2, 6, and 7. Listed below are nine different samples. Complete (a) through (c).

2,2. 2,6. 2,7. 6,2. 6,6. 6,7. 7,2. 7,6. 7,7.

Find the variance of each of the nine samples, then summarize the sampling distribution of the variances in the format of a table representing the probability distribution of the distinct variance values.

(Type an integer or fraction. Use ascending order of the sample variances.)

Compare the population variance to the mean of the sample variances. Choose the correct answer below.

The population variance is equal to the square of the mean of the sample variances.
The population variance is equal to the square root of the mean of the sample variances.
The population variance is equal to the mean of the sample variances.

Do the sample variances target the value of the population variance? In general, do the sample variances make good estimators of population variances? Why or why not?

The sample variances do not target the population variance; therefore, sample variances do not make good estimators of population variances.
The sample variances target the population variances; therefore, sample variances make good estimators of population variances.
The sample variances do not target the population variance; therefore, sample variances make good estimators of population variances.

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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