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)"