Define then normal distribution .

Question

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Answer 1

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 6, Problem 1FP

To determine

Define then normal distribution.

Expert Solution & Answer

Explanation of Solution

Normal Distribution:

The normal distribution is the theoretical distribution. The scores of the distribution are distributed symmetrically above mean and below mean. The mean, median and mode of the distribution located at center.

There are eight characteristics that explains the normal distribution.

They are,

1. The distribution of the normal is defined mathematically.
2. The normal distribution is theoretical.
3. The location of mean, median and mode at the position of 50^th percentile.
4. The distribution of the normal is symmetrical.
5. The value of mean can equal to any value.
6. The standard deviation of the distribution is any positive value.
7. The total area of the normal distribution under the curve is 1.
8. The tails of normal distribution are asymptotic.

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Answer 2

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 6, Problem 1FP

To determine

Define then normal distribution.

Expert Solution & Answer

Explanation of Solution

Normal Distribution:

The normal distribution is the theoretical distribution. The scores of the distribution are distributed symmetrically above mean and below mean. The mean, median and mode of the distribution located at center.

There are eight characteristics that explains the normal distribution.

They are,

1. The distribution of the normal is defined mathematically.
2. The normal distribution is theoretical.
3. The location of mean, median and mode at the position of 50^th percentile.
4. The distribution of the normal is symmetrical.
5. The value of mean can equal to any value.
6. The standard deviation of the distribution is any positive value.
7. The total area of the normal distribution under the curve is 1.
8. The tails of normal distribution are asymptotic.

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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 6, Problem 1FP

To determine

Define then normal distribution.

Expert Solution & Answer

Explanation of Solution

Normal Distribution:

The normal distribution is the theoretical distribution. The scores of the distribution are distributed symmetrically above mean and below mean. The mean, median and mode of the distribution located at center.

There are eight characteristics that explains the normal distribution.

They are,

1. The distribution of the normal is defined mathematically.
2. The normal distribution is theoretical.
3. The location of mean, median and mode at the position of 50^th percentile.
4. The distribution of the normal is symmetrical.
5. The value of mean can equal to any value.
6. The standard deviation of the distribution is any positive value.
7. The total area of the normal distribution under the curve is 1.
8. The tails of normal distribution are asymptotic.

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Answer 4

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 6, Problem 1FP

To determine

Define then normal distribution.

Expert Solution & Answer

Explanation of Solution

Normal Distribution:

The normal distribution is the theoretical distribution. The scores of the distribution are distributed symmetrically above mean and below mean. The mean, median and mode of the distribution located at center.

There are eight characteristics that explains the normal distribution.

They are,

1. The distribution of the normal is defined mathematically.
2. The normal distribution is theoretical.
3. The location of mean, median and mode at the position of 50^th percentile.
4. The distribution of the normal is symmetrical.
5. The value of mean can equal to any value.
6. The standard deviation of the distribution is any positive value.
7. The total area of the normal distribution under the curve is 1.
8. The tails of normal distribution are asymptotic.

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Answer 5

Chapter 6, Problem 1FP

To determine

Define then normal distribution.

Expert Solution & Answer

Explanation of Solution

Normal Distribution:

The normal distribution is the theoretical distribution. The scores of the distribution are distributed symmetrically above mean and below mean. The mean, median and mode of the distribution located at center.

There are eight characteristics that explains the normal distribution.

They are,

1. The distribution of the normal is defined mathematically.
2. The normal distribution is theoretical.
3. The location of mean, median and mode at the position of 50^th percentile.
4. The distribution of the normal is symmetrical.
5. The value of mean can equal to any value.
6. The standard deviation of the distribution is any positive value.
7. The total area of the normal distribution under the curve is 1.
8. The tails of normal distribution are asymptotic.

Answer 6

Chapter 6, Problem 1FP

To determine

Define then normal distribution.

Expert Solution & Answer

Explanation of Solution

Normal Distribution:

The normal distribution is the theoretical distribution. The scores of the distribution are distributed symmetrically above mean and below mean. The mean, median and mode of the distribution located at center.

There are eight characteristics that explains the normal distribution.

They are,

1. The distribution of the normal is defined mathematically.
2. The normal distribution is theoretical.
3. The location of mean, median and mode at the position of 50^th percentile.
4. The distribution of the normal is symmetrical.
5. The value of mean can equal to any value.
6. The standard deviation of the distribution is any positive value.
7. The total area of the normal distribution under the curve is 1.
8. The tails of normal distribution are asymptotic.

Answer 7

Chapter 6, Problem 1FP

To determine

Define then normal distribution.

Answer 8

Expert Solution & Answer

Explanation of Solution

Normal Distribution:

The normal distribution is the theoretical distribution. The scores of the distribution are distributed symmetrically above mean and below mean. The mean, median and mode of the distribution located at center.

There are eight characteristics that explains the normal distribution.

They are,