In a random sample of UTC students 50% indicated they are business majors, 40% engineering majors, and 10% other majors. Of the business majors 60% were females; whereas 30% of engineering majors were female. Finally 20% of the other majors were female. For the following answers, round your answer to 4 decimal places, using a zero in from of the decimal for answers less than one. A. What percentage of students in this sample was female?
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 random sample of UTC students 50% indicated they are business majors, 40% engineering majors, and 10% other majors.
Of the business majors 60% were females; whereas 30% of engineering majors were female. Finally 20% of the other majors were female.
For the following answers, round your answer to 4 decimal places, using a zero in from of the decimal for answers less than one.
A. What percentage of students in this sample was female?
B. Given that a person is female, what is the
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