Hi Lisa,
Recall that a standard normal distribution has mean 0 and standard deviation 1. Now, we will apply the classic formula for introductory statistics:
z=(x-mu)/sigma
x=value you were given
mu=mean
sigma=standard deviation
Now, you were given two x-values here: 0 and 1.61. We can compute z-scores for both. I’ll use z1 for 0 and z2 for 1.61:
z1=(x1-mu)/sigma
x1=0
mu=0
sigma=1
z1=(0-0)/1
z1=0
Now, for z2:
z2=(x2-mu)/sigma
X2=1.61
mu=0
sigma=1
z2=(1.61-0)/1
z2=1.61
Now, we need to standardize these using the z-table. P(X<0)=P(Z<0). For z1, go to z-table, look for 0 at left, .00 at top:
P(Z<0)=0.5000
Now, we do the same for z2:
P(Z<1.61)=0.9463
Now, because of the standard normal distribution, we know:
P(Z<1.61)=P(X<1.61)=0.9463 and
P(Z<0)=P(X<0)=0.5000
To get the area between them, we need to subtract:
P(0<X<1.61)=P(0<Z<1.61)=0.9463-0.5000
P(0<X<1.61)=0.4463
I hope this helps.