Boys’ and Men’s Heights According to the National Health Center, the heights of 5-year-old boys are Normally distributed with a mean of 43 inches and a standard deviation of 1.5 inches. a. In which percentile is a 5-year-old boy who is 46.5 inches tall? b. If a 5-year-old boy who is 46.5 inches tall grows up to be a man at the same percentile of height, what height will he be? Assume adult men’s heights (inches) are distributed as N 69 , 3
Boys’ and Men’s Heights According to the National Health Center, the heights of 5-year-old boys are Normally distributed with a mean of 43 inches and a standard deviation of 1.5 inches. a. In which percentile is a 5-year-old boy who is 46.5 inches tall? b. If a 5-year-old boy who is 46.5 inches tall grows up to be a man at the same percentile of height, what height will he be? Assume adult men’s heights (inches) are distributed as N 69 , 3
Solution Summary: The author determines the percentile at which a 5-year-old boy is 46.5 inches tall, using the standard normal table in Appendix A.
Boys’ and Men’s Heights According to the National Health Center, the heights of 5-year-old boys are Normally distributed with a mean of 43 inches and a standard deviation of 1.5 inches.
a. In which percentile is a 5-year-old boy who is 46.5 inches tall?
b. If a 5-year-old boy who is 46.5 inches tall grows up to be a man at the same percentile of height, what height will he be? Assume adult men’s heights (inches) are distributed as
N
69
,
3
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.
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