Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Question

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Answer 1

Question

Chapter 7, Problem 1.1HD

To determine

Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Expert Solution & Answer

Answer to Problem 1.1HD

The variance of the sample is slightly smaller than the variance of the population.

Explanation of Solution

The difference between the sample and population variance is that, in general the variance of the sample would be slightly smaller when compared to the variance of the population from which the sample is taken. This makes the sample variance to be a biased estimate of the variance of population.

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Answer 2

Question

Chapter 7, Problem 1.1HD

To determine

Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Expert Solution & Answer

Answer to Problem 1.1HD

The variance of the sample is slightly smaller than the variance of the population.

Explanation of Solution

The difference between the sample and population variance is that, in general the variance of the sample would be slightly smaller when compared to the variance of the population from which the sample is taken. This makes the sample variance to be a biased estimate of the variance of population.

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Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Question

Chapter 7, Problem 1.1HD

To determine

Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Expert Solution & Answer

Answer to Problem 1.1HD

The variance of the sample is slightly smaller than the variance of the population.

Explanation of Solution

The difference between the sample and population variance is that, in general the variance of the sample would be slightly smaller when compared to the variance of the population from which the sample is taken. This makes the sample variance to be a biased estimate of the variance of population.

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Answer 4

Question

Chapter 7, Problem 1.1HD

To determine

Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Expert Solution & Answer

Answer to Problem 1.1HD

The variance of the sample is slightly smaller than the variance of the population.

Explanation of Solution

The difference between the sample and population variance is that, in general the variance of the sample would be slightly smaller when compared to the variance of the population from which the sample is taken. This makes the sample variance to be a biased estimate of the variance of population.

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Answer 5

Chapter 7, Problem 1.1HD

To determine

Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Expert Solution & Answer

Answer to Problem 1.1HD

The variance of the sample is slightly smaller than the variance of the population.

Explanation of Solution

The difference between the sample and population variance is that, in general the variance of the sample would be slightly smaller when compared to the variance of the population from which the sample is taken. This makes the sample variance to be a biased estimate of the variance of population.

Answer 6

Chapter 7, Problem 1.1HD

To determine

Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Expert Solution & Answer

Answer to Problem 1.1HD

The variance of the sample is slightly smaller than the variance of the population.

Explanation of Solution

The difference between the sample and population variance is that, in general the variance of the sample would be slightly smaller when compared to the variance of the population from which the sample is taken. This makes the sample variance to be a biased estimate of the variance of population.

Answer 7

Chapter 7, Problem 1.1HD

To determine

Explain in which sense a sample’s variance is a biased estimate of the variance of population the sample is taken from.

Answer 8

Expert Solution & Answer

Answer to Problem 1.1HD

The variance of the sample is slightly smaller than the variance of the population.

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

Explanation of Solution

The difference between the sample and population variance is that, in general the variance of the sample would be slightly smaller when compared to the variance of the population from which the sample is taken. This makes the sample variance to be a biased estimate of the variance of population.