"Let,\\;X\\;-\\;random\\;variable\\;representing\\;number\\;of\\\\students,\\;who\\;failed\\;test.\\\\Consider\\;that\\;it\\;is\\;success\\;when\\;student\\;fails\\;test.\\\\Trials\\;are\\;independent\\Rightarrow X\\;has\\;binomial\\;distribution\\;with\\\\n\\;=\\;1875\\;,\\;p\\;=\\;0.004\\\\p\\;is\\;small\\;and\\;n\\;is\\;large,\\;\\mu\\;=\\;n\\times p=7.5\\;is\\;finite.\\\\U\\sin g\\;poisson\\;approximation,\\;X\\;has\\;a\\;Poisson\\;distribution\\\\with\\;parameter\\;\\mu=7.5\\\\Probability\\;mass\\;function:\\;p(x;\\;7.5)\\;=\\;\\frac{e^{-7.5}{(7.5)}^x}{x!}\\\\P(X<5)\\;=\\;P(0)+P(1)+P(2)+P(3)+P(4)=\\\\=\\frac{e^{-7.5}{(7.5)}^0}{0!}+...+\\frac{e^{-7.5}{(7.5)}^4}{4!}=0.00055+0.00415+\\\\+0.01556+0.03889++0.7292=0.1321\\\\\\\\"
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