The lengths of pregnancies in a small rural village are normally distributed with a mean of 270 days and a standard deviation of 13 days. In what range would you expect to find the middle 68% of most pregnancies? Between and If you were to draw samples of size 47 from this population, in what range would you expect to find the middle 68% of most averages for the lengths of pregnancies in the sample? Between and Enter your answers as numbers. Your answers should be accurate to 2 decimal places.
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 what
Between and
If you were to draw samples of size 47 from this population, in what range would you expect to find the middle 68% of most averages for the lengths of pregnancies in the sample?
Between and
Enter your answers as numbers. Your answers should be accurate to 2 decimal places.
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