The amount of soda that a dispenser pours into a 12-ounce can of soda follows a normal distribution with a standard deviation of 0.24 ounces. Each can that has more than 12.60 ounces of spilled soda causes a spill and the can must go through a special cleaning process before it can be sold. What is the average amount of soft drink that the machine must dispense if the company wants to limit the percentage that must be cleaned per spill to 3%?
The amount of soda that a dispenser pours into a 12-ounce can of soda follows a normal distribution with a standard deviation of 0.24 ounces. Each can that has more than 12.60 ounces of spilled soda causes a spill and the can must go through a special cleaning process before it can be sold. What is the average amount of soft drink that the machine must dispense if the company wants to limit the percentage that must be cleaned per spill to 3%?
The amount of soda that a dispenser pours into a 12-ounce can of soda follows a normal distribution with a standard deviation of 0.24 ounces. Each can that has more than 12.60 ounces of spilled soda causes a spill and the can must go through a special cleaning process before it can be sold. What is the average amount of soft drink that the machine must dispense if the company wants to limit the percentage that must be cleaned per spill to 3%?
The amount of soda that a dispenser pours into a 12-ounce can of soda follows a normal distribution with a standard deviation of 0.24 ounces. Each can that has more than 12.60 ounces of spilled soda causes a spill and the can must go through a special cleaning process before it can be sold. What is the average amount of soft drink that the machine must dispense if the company wants to limit the percentage that must be cleaned per spill to 3%?
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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