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Binomial distribution:
Let X follow a binomial distribution with parameters n = 4 and p = 0.5. Tabulate P ( ¦X - μ¦ ≥ k ) and σ2/k2 for k = 1,2,3,4,5 and verify that Chebyshev's lemma is true for each k. Comment on the usefulness of σ2 /k2 as an approximation of P ( ¦ X - μ ¦ ≥ k ).
Solution:
We have
Μ = np = 2, σ2 =npq = 1 and p(X =x) = (.5)4 /16,
X= 0,1,2,3,4.
Therefore we obtain, in a tabular form
Chebyshev's lemma is clearly satisfied for every k. However, the upper bound to the probability is weak and the estimate σ2/k2 - is not a good approximation to the probability.
Two kg Ammonia (mA) at PA = 300 kPa and TA = -10ºC and 1 kg Ammonia (mB) at PB = 300 kPa and TB = 100ºC are mixed in a constant pressure and adiabatic process. Find the following:
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