Determine the probability that the sample proportion lies between 12 % and 18 % .

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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 7, Problem 16PS

a.

To determine

Determine the probability that the sample proportion lies between 12% and 18% .

b.

To determine

Determine the sample percentage limits between which 90% of the area is distributed symmetrically around the population proportion.

c.

To determine

Determine the sample percentage limits between which 95% of the area is distributed symmetrically around the population proportion.

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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 7, Problem 16PS

a.

To determine

Determine the probability that the sample proportion lies between 12% and 18% .

b.

To determine

Determine the sample percentage limits between which 90% of the area is distributed symmetrically around the population proportion.

c.

To determine

Determine the sample percentage limits between which 95% of the area is distributed symmetrically around the population proportion.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

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 7, Problem 16PS

a.

To determine

Determine the probability that the sample proportion lies between 12% and 18% .

b.

To determine

Determine the sample percentage limits between which 90% of the area is distributed symmetrically around the population proportion.

c.

To determine

Determine the sample percentage limits between which 95% of the area is distributed symmetrically around the population proportion.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

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 7, Problem 16PS

a.

To determine