Assume that a researcher randomly Probabilities of Girls selects 14 newborn babies and counts x(girls) P(x) x(girls) P(x) x(girls) P(x) the number of girls selected, x. The probabilities corresponding to the 14 possible values of x are summarized in the given table. 0 0.000 5 0.122 10 0.061 1 0.001 6 0.183 11 0.022 2 0.006 7 0.209 12 0.006 Find the probability of selecting 9 or more girls. 3 0.022 8 0.183 13 0.001 4 0.061 9 0.122 14 0.000 O A. 0.061 О В. 0.122 О С. 0.212 O D. 0.001
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!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
