Respuesta :

1) Considering a Normal Distribution, then we can write out the following:

[tex]P(X>5710)=P(X-\mu>5710-6000)=P(\frac{X-\mu}{\sigma}>\frac{5710-6000}{1000})[/tex]

Note that we're dealing with probabilities.

2) Let's find out the Z-score resorting to a table, we get:

[tex]Z=\frac{x-\mu}{\sigma}=\frac{5710-6000}{1000}=-0.29[/tex]

2.2) So we can infer from 1 and 2:

[tex]P(X>5710)=P(Z>-0.29)=0.6141[/tex]

Notice that this distribution refers to 120 families

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