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Complete Question

Super Bowl XLVI was played between the New York Giants and the New England Patriots in Indianapolis. Due to a decade-long rivalry between the Patriots and the city’s own team, the Colts, most Indianapolis residents were rooting heartily for the Giants. Suppose that 90% of Indianapolis residents wanted the Giants to beat the Patriots. What is the probability that from a sample of 100 Indianapolis residents, fewer than 95% were rooting for the Giants in Super Bowl XLVI?

Answer:

The value is  [tex]P(X < 0.95) = 0.95224[/tex]

Step-by-step explanation:

From the question we are told that

  The proportion that wants Giants to win  p = 0.90  

   The sample size is n  =  100

 Generally the mean of this sampling distribution is  

       [tex]\mu_{x} = 0.90[/tex]

Generally the standard deviation is  

      [tex]\sigma = \sqrt{\frac{p(1- p)}{n} }[/tex]

=>   [tex]\sigma = \sqrt{\frac{ 0.90 (1- 0.90)}{100} }[/tex]

=>   [tex]\sigma = 0.03[/tex]

Generally the probability that  from a sample of 100 Indianapolis residents, fewer than 95% were rooting for the Giants in Super Bowl XLVI is mathematically represented  as

     [tex]P(X < 0.95) = P(\frac{ X - \mu_{x}}{\sigma} < \frac{0.95 -0.90}{0.03} )[/tex]

[tex] \frac{X -\mu}{\sigma }  =  Z (The  \ standardized \  value\  of  \ X )[/tex]

       [tex]P(X < 0.95) = P(Z < 1.667 )[/tex]

=>    [tex]P(X < 0.95) = 0.95224[/tex]

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