Birth Lengths According to National Vital Statistics, the average length of a newborn baby is 19.5 inches with a standard deviation of 0.9 inches. The distribution of lengths is approximately Normal. Use technology or a table to answer these questions. For each include an appropriately labeled and shaded Normal curve. a. What is the probability that a newborn baby will have a length of 18 inches or less? b. What percentage of newborn babies will be longer than 20 inches? c. Baby clothes are sold in a “newborn” size that fits infants who are between 18 and 21 inches long. What percentage of newborn babies will not fit into the “newborn” size either because they are too long or too short?
Birth Lengths According to National Vital Statistics, the average length of a newborn baby is 19.5 inches with a standard deviation of 0.9 inches. The distribution of lengths is approximately Normal. Use technology or a table to answer these questions. For each include an appropriately labeled and shaded Normal curve. a. What is the probability that a newborn baby will have a length of 18 inches or less? b. What percentage of newborn babies will be longer than 20 inches? c. Baby clothes are sold in a “newborn” size that fits infants who are between 18 and 21 inches long. What percentage of newborn babies will not fit into the “newborn” size either because they are too long or too short?
Birth Lengths According to National Vital Statistics, the average length of a newborn baby is 19.5 inches with a standard deviation of 0.9 inches. The distribution of lengths is approximately Normal. Use technology or a table to answer these questions. For each include an appropriately labeled and shaded Normal curve.
a. What is the probability that a newborn baby will have a length of 18 inches or less?
b. What percentage of newborn babies will be longer than 20 inches?
c. Baby clothes are sold in a “newborn” size that fits infants who are between 18 and 21 inches long. What percentage of newborn babies will not fit into the “newborn” size either because they are too long or too short?
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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