A student's score on an actuarial exam is in the 78th percentile. What can you conclude about the student's exam score? Choose the correct answer below. O A. 78% of students scored higher than this particular student. O B. The student scored a 78% on the exam. O C. The student scored higher than 78% of the students who took the actuarial exam. O D. About 78% of students achieved the same score as this particular student.
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!
![A student's score on an actuarial exam is in the 78th percentile. What can you conclude about the student's exam score?
Choose the correct answer below.
O A. 78% of students scored higher than this particular student.
O B. The student scored a 78% on the exam.
O C. The student scored higher than 78% of the students who took the actuarial exam.
O D. About 78% of students achieved the same score as this particular student.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F21f02145-123d-45e0-93ae-25adc2da02e0%2F6ac111e1-4e0d-4bcc-b489-b57ad29b69c0%2F1pu74pd.jpeg&w=3840&q=75)
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