The lengths of pregnancies in a small rural village are normally distributed with a mean of 265 days and a standard deviation of 13 days. A distribution of values is normal with a mean of 265 and a standard deviation of 13. What percentage of pregnancies last beyond 285 days? P(X > 285 days) = % Enter your answer as a percent accurate to 1 decimal place (do not enter the "%" sign). Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
The lengths of pregnancies in a small rural village are normally distributed with a mean of 265 days and a standard deviation of 13 days. A distribution of values is normal with a mean of 265 and a standard deviation of 13. What percentage of pregnancies last beyond 285 days? P(X > 285 days) = % Enter your answer as a percent accurate to 1 decimal place (do not enter the "%" sign). Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
The lengths of pregnancies in a small rural village are normally distributed with a mean of 265 days and a standard deviation of 13 days. A distribution of values is normal with a mean of 265 and a standard deviation of 13. What percentage of pregnancies last beyond 285 days? P(X > 285 days) = % Enter your answer as a percent accurate to 1 decimal place (do not enter the "%" sign). Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
The lengths of pregnancies in a small rural village are normally distributed with a mean of 265 days and a standard deviation of 13 days. A distribution of values is normal with a mean of 265 and a standard deviation of 13.
What percentage of pregnancies last beyond 285 days? P(X > 285 days) = %
Enter your answer as a percent accurate to 1 decimal place (do not enter the "%" sign). Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
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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