The type data for which mean is considered as best measure of central tendency .

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Answer 1

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 3, Problem 9FP

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The type data for which mean is considered as best measure of central tendency.

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Answer 2

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 3, Problem 9FP

To determine

To explain:

The type data for which mean is considered as best measure of central tendency.

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Answer 3

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 3, Problem 9FP

To determine

To explain:

The type data for which mean is considered as best measure of central tendency.

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Answer 4

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 3, Problem 9FP

To determine

To explain:

The type data for which mean is considered as best measure of central tendency.

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Answer 5

Chapter 3, Problem 9FP

To determine

To explain:

The type data for which mean is considered as best measure of central tendency.

Answer 6

Chapter 3, Problem 9FP

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To explain:

The type data for which mean is considered as best measure of central tendency.

Answer 7

Chapter 3, Problem 9FP

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To explain:

The type data for which mean is considered as best measure of central tendency.

Answer 8

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Answer 9

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Answer 11

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The type data for which mean is considered as best measure of central tendency .

Solution Summary: The author explains that median is the best measure of central tendency for Quantitative and Non-Skewed Data because it is comparatively easy to find and there is no outlier which makes mean non-reliable.

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The type data for which mean is considered as best measure of central tendency.

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The type data for which mean is considered as best measure of central tendency .

Solution Summary: The author explains that median is the best measure of central tendency for Quantitative and Non-Skewed Data because it is comparatively easy to find and there is no outlier which makes mean non-reliable.

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To explain: The type data for which mean is considered as best measure of central tendency.

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Chapter 3 Solutions

To explain:

The type data for which mean is considered as best measure of central tendency.