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!
Hi can you please complete the question fully,
Struggling with it at the moment thanks.
![)Simplify the following:
(i)V180
(b) For the complex numbers 2-8+15] and z -3+8, write out and simplify
(1) 3-224
(v) arg z1
() The diagram shows coplanar forces F, F, and Facting on a common point O.
Find the magnitude and direction of the resultant force R= F,+F+F- Give your answer
in Polar form.
, 60N
40N
, 20N
(d) Given the complex number
indr"exprtssiny your anwersin the fcrm a +b.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F42144b5d-a856-4cd8-a5fd-2cdeb6c05d1e%2F821e91cb-2bf9-4a79-82c1-d757abf63186%2F5uaz31r_processed.jpeg&w=3840&q=75)
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