Total cholesterol in children aged 10–15 years is assumed to follow a normal distribution with a mean of 191 and a standard deviation of 22.4. a. What proportion of children aged 10–15 years have total cholesterol between 180 and 190? b. What proportion of children aged 10–15 years would be classified as hyperlipidemic? Assume that hyperlipidemia is defined as a total cholesterol level over 200. c. What is the 90th percentile of cholesterol?
Total cholesterol in children aged 10–15 years is assumed to follow a normal distribution with a mean of 191 and a standard deviation of 22.4. a. What proportion of children aged 10–15 years have total cholesterol between 180 and 190? b. What proportion of children aged 10–15 years would be classified as hyperlipidemic? Assume that hyperlipidemia is defined as a total cholesterol level over 200. c. What is the 90th percentile of cholesterol?
Total cholesterol in children aged 10–15 years is assumed to follow a normal distribution with a mean of 191 and a standard deviation of 22.4. a. What proportion of children aged 10–15 years have total cholesterol between 180 and 190? b. What proportion of children aged 10–15 years would be classified as hyperlipidemic? Assume that hyperlipidemia is defined as a total cholesterol level over 200. c. What is the 90th percentile of cholesterol?
Total cholesterol in children aged 10–15 years is assumed to follow a normal distribution with a mean of 191 and a standard deviation of 22.4.
a. What proportion of children aged 10–15 years have total cholesterol between 180 and 190?
b. What proportion of children aged 10–15 years would be classified as hyperlipidemic? Assume that hyperlipidemia is defined as a total cholesterol level over 200.
c. What is the 90th percentile of cholesterol?
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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