Step 1 :Given that the mean amount of coffee dispensed is 9 ounces and the standard deviation is 0.6 ounce.
Step 2 :According to the 68-95-99.7 rule, 68% of the data falls within one standard deviation of the mean, 95% falls within two standard deviations, and 99.7% falls within three standard deviations.
Step 3 :One standard deviation below the mean is 9 - 0.6 = 8.4 ounces.
Step 4 :68% of the cups should have between 8.4 and 9.6 ounces of coffee. Since the distribution is symmetric, half of this 68%, or 34%, should have less than 9 ounces of coffee.
Step 5 :All the cups with less than 8.4 ounces of coffee should be the 34% that have less than 9 ounces, plus the 50% that have less than 8.4 ounces (since 8.4 ounces is one standard deviation below the mean, and half the data falls below the mean in a normal distribution).
Step 6 :So, the percent of cups that should have less than 8.4 ounces of coffee is 34% + 50% = 84%.
Step 7 :Final Answer: \(\boxed{84\%}\)