The lengths of pregnancies in a small rural village are normally distributed with a mean of 261 days and a standard deviation of 16 days. In what range would we expect to find the middle 98% of most lengths of pregnancies? Round the answer to one decimal place. Between and days If we were to draw samples of size 40 from this population, in what range would we expect to find the middle 98% of most averages for the lengths of pregnancies in the sample? Round the answer to one decimal place. Between and days
The lengths of pregnancies in a small rural village are normally distributed with a mean of 261 days and a standard deviation of 16 days. In what range would we expect to find the middle 98% of most lengths of pregnancies? Round the answer to one decimal place. Between and days If we were to draw samples of size 40 from this population, in what range would we expect to find the middle 98% of most averages for the lengths of pregnancies in the sample? Round the answer to one decimal place. Between and days
The lengths of pregnancies in a small rural village are normally distributed with a mean of 261 days and a standard deviation of 16 days. In what range would we expect to find the middle 98% of most lengths of pregnancies? Round the answer to one decimal place. Between and days If we were to draw samples of size 40 from this population, in what range would we expect to find the middle 98% of most averages for the lengths of pregnancies in the sample? Round the answer to one decimal place. Between and days
The lengths of pregnancies in a small rural village are normally distributed with a mean of 261 days and a standard deviation of 16 days.
In what range would we expect to find the middle 98% of most lengths of pregnancies? Round the answer to one decimal place.
Between and days
If we were to draw samples of size 40 from this population, in what range would we expect to find the middle 98% of most averages for the lengths of pregnancies in the sample? Round the answer to one decimal place.
Between and days
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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