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94.5. You intend to draw a random population of values has a normal distribution with u = 88.4 and o = sample of size n = 79.

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Answer #1

Let the random variable X follow normal distribution with mean 88.4 and standard deviation 94.5

\therefore X\sim N(88.4,94.5)

Here sample size n=79

We need to find the probability that P(X> 71.4)

= P X - 88.4 94.5 71.4 - 88.4 94.5

= P(Z > -0.17989418)

=1-P\left ( Z\leq -0.17989418 \right )

=1-[1-P\left ( Z\leq 0.17989418 \right )]

=P\left ( Z\leq 0.17989418 \right )

=0.571382178

\simeq 0.5714[ round to four decimal place]

The probability is 0.5714

The distribution of sample mean is given by,

\therefore \bar X\sim N\left ( \mu,\frac{\sigma}{\sqrt n} \right )

So, here \therefore \bar X\sim N\left ( 88.4,\frac{94.5}{\sqrt {79}} \right )

We need to find P(\bar X>71.4)

P(\bar X>71.4)

=P\left ( \frac{\bar X-88.4}{\frac{94.5}{\sqrt {79}}}>\frac{71.4-88.4}{\frac{94.5}{\sqrt {79}}} \right )

=P\left ( Z>\frac{71.4-88.4}{\frac{94.5}{\sqrt {79}}} \right )

=P\left ( Z>-1.598934445 \right )

=1-P\left ( Z\leq -1.598934445 \right )

=1-[1-P\left ( Z\leq 1.598934445 \right )]

=P\left ( Z\leq 1.598934445 \right )

=0.945082415

\simeq 0.9451

The probability is 0.9451

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