A large manufacturing plant uses lightbulbs with lifetimes that are normally distributed with a mean of 1500 hours and a standard deviation of 80 hours. To minimize the number of bulbs that burn out during operating hours, all bulbs are replaced at once. How often should the bulbs be replaced so that only 1% burn out between replacement periods? (Round your answer to one decimal place.)
A large manufacturing plant uses lightbulbs with lifetimes that are normally distributed with a mean of 1500 hours and a standard deviation of 80 hours. To minimize the number of bulbs that burn out during operating hours, all bulbs are replaced at once. How often should the bulbs be replaced so that only 1% burn out between replacement periods? (Round your answer to one decimal place.)
A large manufacturing plant uses lightbulbs with lifetimes that are normally distributed with a mean of 1500 hours and a standard deviation of 80 hours. To minimize the number of bulbs that burn out during operating hours, all bulbs are replaced at once. How often should the bulbs be replaced so that only 1% burn out between replacement periods? (Round your answer to one decimal place.)
A large manufacturing plant uses lightbulbs with lifetimes that are normally distributed with a mean of 1500 hours and a standard deviation of 80 hours. To minimize the number of bulbs that burn out during operating hours, all bulbs are replaced at once. How often should the bulbs be replaced so that only 1% burn out between replacement periods? (Round your answer to one decimal place.)
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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