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]