Sampling distribution

Question

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Answer 1

Question

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

Chapter 8, Problem 1RE

To determine

To explain: Sampling distribution

Expert Solution & Answer

Answer to Problem 1RE

Solution: The sampling distribution is a distribution that is related to sample statistic.

Explanation of Solution

Every statistic has a sampling distribution. Suppose that, instead of mean, medians can be computed for each sample. The infinity number of medians would be called the sampling distribution of the median.

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Answer 2

Question

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

Chapter 8, Problem 1RE

To determine

To explain: Sampling distribution

Expert Solution & Answer

Answer to Problem 1RE

Solution: The sampling distribution is a distribution that is related to sample statistic.

Explanation of Solution

Every statistic has a sampling distribution. Suppose that, instead of mean, medians can be computed for each sample. The infinity number of medians would be called the sampling distribution of the median.

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Answer 3

Question

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

Chapter 8, Problem 1RE

To determine

To explain: Sampling distribution

Expert Solution & Answer

Answer to Problem 1RE

Solution: The sampling distribution is a distribution that is related to sample statistic.

Explanation of Solution

Every statistic has a sampling distribution. Suppose that, instead of mean, medians can be computed for each sample. The infinity number of medians would be called the sampling distribution of the median.

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Answer 4

Question

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

Chapter 8, Problem 1RE

To determine

To explain: Sampling distribution

Expert Solution & Answer

Answer to Problem 1RE

Solution: The sampling distribution is a distribution that is related to sample statistic.

Explanation of Solution

Every statistic has a sampling distribution. Suppose that, instead of mean, medians can be computed for each sample. The infinity number of medians would be called the sampling distribution of the median.

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Answer 5

Chapter 8, Problem 1RE

To determine

To explain: Sampling distribution

Expert Solution & Answer

Answer to Problem 1RE

Solution: The sampling distribution is a distribution that is related to sample statistic.

Explanation of Solution

Every statistic has a sampling distribution. Suppose that, instead of mean, medians can be computed for each sample. The infinity number of medians would be called the sampling distribution of the median.

Answer 6

Chapter 8, Problem 1RE

To determine

To explain: Sampling distribution

Expert Solution & Answer

Answer to Problem 1RE

Solution: The sampling distribution is a distribution that is related to sample statistic.

Explanation of Solution

Every statistic has a sampling distribution. Suppose that, instead of mean, medians can be computed for each sample. The infinity number of medians would be called the sampling distribution of the median.

Answer 7

Chapter 8, Problem 1RE

To determine

To explain: Sampling distribution

Answer 8

Expert Solution & Answer

Answer to Problem 1RE

Solution: The sampling distribution is a distribution that is related to sample statistic.

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

Explanation of Solution

Every statistic has a sampling distribution. Suppose that, instead of mean, medians can be computed for each sample. The infinity number of medians would be called the sampling distribution of the median.