An expert witness for a paternity lawsuit testifies that the length of a pregnancy is normally distributed with a mean of 280 days and a standard deviation of 13 days. An alleged father was out of the country from 240 to 306 days before the birth of the child, so the pregnancy would have been less than 240 days or more than 306 days long If he was the father. The birth was uncomplicated, and the child needed no medical irneiventlon. What Is the probability that he was NOT the father? What is the pi obability that he could be the father? Calculate the z-scores first, and then use those to calculate the probability.
An expert witness for a paternity lawsuit testifies that the length of a pregnancy is normally distributed with a mean of 280 days and a standard deviation of 13 days. An alleged father was out of the country from 240 to 306 days before the birth of the child, so the pregnancy would have been less than 240 days or more than 306 days long If he was the father. The birth was uncomplicated, and the child needed no medical irneiventlon. What Is the probability that he was NOT the father? What is the pi obability that he could be the father? Calculate the z-scores first, and then use those to calculate the probability.
An expert witness for a paternity lawsuit testifies that the length of a pregnancy is normally distributed with a mean of 280 days and a standard deviation of 13 days. An alleged father was out of the country from 240 to 306 days before the birth of the child, so the pregnancy would have been less than 240 days or more than 306 days long If he was the father. The birth was uncomplicated, and the child needed no medical irneiventlon. What Is the probability that he was NOT the father? What is the pi obability that he could be the father? Calculate the z-scores first, and then use those to calculate the probability.
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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