Whether the United States or Canada had a greater proportion of very poor families (income of at most $ 12 , 000 ) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows, Country United States Canada Switzerland Germany Sweden Mean Household Income ( $ ) 38 , 000 35 , 000 39 , 000 34 , 000 32 , 000 Standard deviation 21 , 000 17 , 000 16 , 000 14 , 000 11 , 000

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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 9.5, Problem 45E

To determine

Whether the United States or Canada had a greater proportion of very poor families (income of at most $12,000) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows,

Country United States Canada Switzerland Germany Sweden

Mean Household Income ($) 38,000 35,000 39,000 34,000 32,000

Standard deviation 21,000 17,000 16,000 14,000 11,000

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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 9.5, Problem 45E

To determine

Whether the United States or Canada had a greater proportion of very poor families (income of at most $12,000) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows,

Country United States Canada Switzerland Germany Sweden

Mean Household Income ($) 38,000 35,000 39,000 34,000 32,000

Standard deviation 21,000 17,000 16,000 14,000 11,000

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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 9.5, Problem 45E

To determine

Whether the United States or Canada had a greater proportion of very poor families (income of at most $12,000) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows,

Country United States Canada Switzerland Germany Sweden

Mean Household Income ($) 38,000 35,000 39,000 34,000 32,000

Standard deviation 21,000 17,000 16,000 14,000 11,000

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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 9.5, Problem 45E

To determine

Whether the United States or Canada had a greater proportion of very poor families (income of at most $12,000) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows,

Country United States Canada Switzerland Germany Sweden

Mean Household Income ($) 38,000 35,000 39,000 34,000 32,000

Standard deviation 21,000 17,000 16,000 14,000 11,000

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Answer 5

Chapter 9.5, Problem 45E

To determine

Whether the United States or Canada had a greater proportion of very poor families (income of at most $12,000) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows,

Country United States Canada Switzerland Germany Sweden

Mean Household Income ($) 38,000 35,000 39,000 34,000 32,000

Standard deviation 21,000 17,000 16,000 14,000 11,000

Answer 6

Chapter 9.5, Problem 45E

To determine

Whether the United States or Canada had a greater proportion of very poor families (income of at most $12,000) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows,

Country United States Canada Switzerland Germany Sweden

Mean Household Income ($) 38,000 35,000 39,000 34,000 32,000

Standard deviation 21,000 17,000 16,000 14,000 11,000

Answer 7

Chapter 9.5, Problem 45E

To determine

Whether the United States or Canada had a greater proportion of very poor families (income of at most $12,000) when the incomes of each country households in 1995 are normally distributed and the mean household income and standard deviation for each country is as follows,

Country United States Canada Switzerland Germany Sweden

Mean Household Income ($) 38,000 35,000 39,000 34,000 32,000

Standard deviation 21,000 17,000 16,000 14,000 11,000

Answer 8

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Answer 11

Ch. 9.1 - In Exercises 110, classify the random variable X...Ch. 9.1 - Prob. 2E Ch. 9.1 - In Exercises 110, classify the random variable X...Ch. 9.1 - In Exercises 110, classify the random variable X...Ch. 9.1 - Prob. 5E Ch. 9.1 - In Exercises 110, classify the random variable X...Ch. 9.1 - Prob. 7E Ch. 9.1 - In Exercises 110, classify the random variable X...Ch. 9.1 - In Exercises 110, classify the random variable X...Ch. 9.1 - In Exercises 110, classify the random variable X...

Solution Summary: The author explains that the United States had a greater proportion of very poor families than Canada.

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Chapter 9 Solutions

Country	United States	Canada	Switzerland	Germany	Sweden
Mean Household Income ($)	38,000	35,000	39,000	34,000	32,000
Standard deviation	21,000	17,000	16,000	14,000	11,000