The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 269 days and a standard deviation of 9 days. (a) What is the minimum pregnancy length that can be in the top 9% of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 3% of pregnancy lengths?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 269 days and a standard deviation of 9 days. (a) What is the minimum pregnancy length that can be in the top 9% of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 3% of pregnancy lengths?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 269 days and a standard deviation of 9 days. (a) What is the minimum pregnancy length that can be in the top 9% of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 3% of pregnancy lengths?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 269 days and a standard deviation of 9 days.
(a) What is the minimum pregnancy length that can be in the top
9% of pregnancy lengths?
(b) What is the maximum pregnancy length that can be in the bottom
3% of pregnancy lengths?
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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