Use Karnaugh map to reduce the following Boolean expression then draw the digital circuits for the simplified expression. F = A'B'C + A'B'C' + AB'C + АBC + AВС

Q: M= i ! kN-m R = ( i i+ i j) kN

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Q: Prove that there is no permutation a such that a'(12) a = (34) (15). %3D

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Q: Consider the matrices 0 7 0 8 0 0 0 0 1 4 13 -1 7 1 0 3 1 2 -1 25 -3 -19 1 -2 -1 A = 3 -6 1 1 1 and ...

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Q: +x sin +:

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Q: FIND X on A ai a5. Y 529 +. В Simse i 4 A oloum boura y s W

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Q: Qz) if the vechri Find ū =-i +J and ū =Jz ie JJ J +2 Ŕ a) The scalev component of ū in the divection...

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Q: this small cube and make it

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Q: Let an be the nth term o structed by including the

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Q: Q1:Find the limit using L Hopital rule In (csc x) lim xT/2 (x – (1/2))²

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Q: Find the inverse Laplace transform 3s +1 b) s(s? +1)

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Q: QUESTION 21 Determine if the following logical expression is a tautology or contradiction. (ovq)^(-A...

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Q: [0 0 0] Let A 1 4 Lo 2 3] a) Find the eigenvalues of A. b) Find a nonsingular matrix P and a diagona...

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Q: Part II. Find the Inverse Laplace Transform of the following: 8s2-4s+12 1. F(s) s3 +4s

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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!