Stopping an enema safely hinges on recognizing signals that something isn’t right. If the patient experiences pain, there is bleeding, or you encounter resistance during the procedure, you stop immediately. These signs point to possible tissue injury, a perforation risk, or an obstruction, and continuing could cause serious harm. Mild cramping can occur as the colon fills and is generally tolerable, so it isn’t by itself a reason to stop. Being thirsty isn’t a relevant safety signal for halting the enema. If red flags appear, pause the procedure, assess the situation, check the equipment and patient position, and seek guidance as needed to ensure safety before deciding how to proceed.

Unconscious patients can’t protect their airway, so oral care must promote drainage away from the airway and be able to clear secretions. Positioning the patient on their side allows saliva and secretions to drain rather than pool in the throat, reducing aspiration risk. Use suction as needed to remove secretions and debris during the care process; this helps keep the mouth clean without causing trauma from continuous suction. Leaving the patient flat and avoiding suction increases the chance that secretions will collect and enter the airway, which is why that approach is not recommended.

The main idea is how the probability is determined. Theoretical probability uses the setup of the experiment to figure out how likely each outcome is, based on counting the possible outcomes in the model. It’s a calculation about what could happen in an ideal sense, not what has actually happened when you test it. For a fair six-sided die, the theoretical probability of rolling a 4 is 1/6 because there is one favorable outcome out of six equally likely outcomes. This comes from the imagined sample space of all possible results. Experimental probability, on the other hand, comes from actual trials. You roll the die many times, record how often a 4 occurs, and compute the ratio of successes to total trials. If you roll 60 times and get a 4 six times, the experimental probability is 6/60 = 1/10. This can differ from the theoretical 1/6, but with more trials it tends to get closer to it (the Law of Large Numbers). So the statement that theoretical probability is based on possible outcomes and experimental probability is based on observed outcomes captures this essential distinction.

Average speed is total distance divided by total time. The car travels 300 miles in 4 hours, so 300 ÷ 4 = 75 miles per hour. This is the speed that matches the given distance and time. If it had been 60 mph, you'd get 240 miles in 4 hours; 70 mph would yield 280 miles; 80 mph would give 320 miles. Only 75 mph aligns with 300 miles in 4 hours.