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Bezzdna [24]
4 years ago
9

A racing car consumes a mean of 106 gallons of gas per race with a standard deviation of 6 gallons. If 33 racing cars are random

ly selected, what is the probability that the sample mean would be greater than 103.7 gallons? Round your answer to four decimal places.
Mathematics
1 answer:
Montano1993 [528]4 years ago
7 0

Answer:

The probability is  P(\= X  > 103.7  )  =   0.9862

Step-by-step explanation:

From the question we are told that

  The population mean is  \mu =  106 \  gallons

   The population standard deviation is  \sigma  =  6 \ gallons

    The sample size is  n  =  33

   

Generally the standard deviation of sample mean is mathematically represented as  

        \sigma_{x} = \frac{\sigma }{\sqrt{n} }

=>      \sigma_{x} = \frac{6}{\sqrt{33} }

=>      \sigma_{x} = 1.044

Generally the probability that the sample mean would be greater than 103.7 gallons is mathematically represented as

        P(\= X  > 103.7  )  =  P(\frac{X - \mu }{\sigma_{x}} > \frac{103.7  -  106}{1.044 }  )

Generally  \frac{X - \mu }{\sigma_{x}}  =  Z (The \  standardized \  value \  of  \= X )

So

P(\= X  > 103.7  )  =  P(Z > -2.203 )

From the z table  the probability of (Z > -2.203 ) is  

     P(Z > -2.203 ) = 0.9862

So

    P(\= X  > 103.7  )  =   0.9862

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