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!
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Find the equation of the line that passes through the points (2, 1) and (-3, 2).
Give an example of a pair of lines that intersect at the point (2, 1).
Give an example of a pair of perpendicular lines, neither of which is parallel to the coordinate axes, that
intersect at the point (2, 1).
Give an example of a parabola that has a maximum at the point (-1,2).
Determine the centre and radius of the circle with equation r2
+ 2x + y? – 4y = 4.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fab45538e-2b8f-45de-a245-d1e163189d40%2F56647759-7c5d-4b0b-8767-e27c8cdfa71c%2Fdkg91w_processed.jpeg&w=3840&q=75)
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