Conditional Probability A study has been done to determine whether QLnet a certain drug leads to improvement in symptoms for patients with a particular condition. The results are shown in the table. Based on this information, what is the probability that a patient shows improvement if it is known that the patient was given the drug? P(Improvement | Drug) No Total Drug No Drug Improvement Improvement 270 530 280 800 120 400 Total 390 810 1200 O A. 0.325 B. 0.225 C. 0.338 D. 0.663
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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