Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table. A biologist found the wingspans of a group of monary butterflies to be normally distributed with a mean of 54.1 mm and a standard deviation of 2.9 mm. What percent of the butterflies had the following wingspans? (Round your answers to one decimal place.) (a) less than 48.8 mm % (b) between 50 and 56 mm
Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table. A biologist found the wingspans of a group of monary butterflies to be normally distributed with a mean of 54.1 mm and a standard deviation of 2.9 mm. What percent of the butterflies had the following wingspans? (Round your answers to one decimal place.) (a) less than 48.8 mm % (b) between 50 and 56 mm
Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table. A biologist found the wingspans of a group of monary butterflies to be normally distributed with a mean of 54.1 mm and a standard deviation of 2.9 mm. What percent of the butterflies had the following wingspans? (Round your answers to one decimal place.) (a) less than 48.8 mm % (b) between 50 and 56 mm
Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table.
A biologist found the wingspans of a group of monary butterflies to be normally distributed with a mean of 54.1 mm and a standard deviation of 2.9 mm. What percent of the butterflies had the following wingspans? (Round your answers to one decimal place.)
(a) less than 48.8 mm %
(b) between 50 and 56 mm %
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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