The probability that an HRM college student will graduate is 0.38. determine the probability that out of the 8 students, at least 1 will graduate.
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!
PLEASE HELP ME WITH THESE 2. Do not be too greedy. I really need help. Thanks
- The
probability that an HRM college student will graduate is 0.38. determine the probability that out of the 8 students, at least 1 will graduate. - The Principal reported that 30% of the students in first year have a failing grade. If this is true, find the probability that in a sample of 16 first year students, more than eight are with passing grades.
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