In a class of 29 students, 28 of them took an exam in class and 1 student took a make-up exam the following day. The professor graded the first batch of 28 exams and found an average score of 81 points with a standard deviation of 7.4 points. The student who took the make-up the following day scored 60 points on the exam. a) Does the new student's score increase or decrease the average? b) The new average is: c) Does the new student's score increase or decrease the standar
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!
In a class of 29 students, 28 of them took an exam in class and 1 student took a make-up exam the following day. The professor graded the first batch of 28 exams and found an average score of 81 points with a standard deviation of 7.4 points. The student who took the make-up the following day scored 60 points on the exam.
a) Does the new student's score increase or decrease the average?
b) The new average is:
c) Does the new student's score increase or decrease the standard deviation of the scores?
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