Respuesta :

Answer:

[tex]P(0<z<1.38) = P(Z<1.38) -P(Z<0)[/tex]

And using the normal standard distribution table or excel we got:

[tex]P(0<z<1.38) =0.916-0.5= 0.416[/tex]

The excel code would be:

"=NORM.DIST(1.38,0,1,TRUE) -=NORM.DIST(0,0,1,TRUE)"

Step-by-step explanation:

For this case we know that our random variable of interest is Z and the distribution is given by:

[tex]Z \sim N(\mu =0 , \sigma =1)[/tex]

This distribution is an special case of the normal distribution.

And we want to find this probability:

[tex]P(0<z<1.38)[/tex]

And we can find this probability with this difference and using the concept of cumulative distribution function for a continuous distribution:

[tex]P(0<z<1.38) = P(Z<1.38) -P(Z<0)[/tex]

And using the normal standard distribution table or excel we got:

[tex]P(0<z<1.38) =0.916-0.5= 0.416[/tex]

The excel code would be:

"=NORM.DIST(1.38,0,1,TRUE) -=NORM.DIST(0,0,1,TRUE)"

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