n a large clinical trial, 394,634 children were randomly assigned to two groups. The treatment group consisted of 199,216 children given a vaccine for a certain disease, and 31 of those children developed the disease. The other 195,418 children were given a placebo, and 95 of those children developed the disease. Consider the vaccine treatment group to be the first sample. Identify the values of n1, p1, q1, n2, p2,
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!
9.1
In a large clinical trial, 394,634 children were randomly assigned to two groups. The treatment group consisted of 199,216 children given a vaccine for a certain disease, and 31 of those children developed the disease. The other 195,418 children were given a placebo, and 95 of those children developed the disease. Consider the vaccine treatment group to be the first sample. Identify the values of n1, p1, q1, n2, p2, q2, p, and q.
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