In: Statistics and Probability
Z is a standard normal random variable, then k is ...
a. P(Z < k) = 0.92
b. P(Z > k) = 0.72
c. P(Z ≤ k) = 0.26
d. (A-Grade) P(−1 < Z < k) = 0.60
e. (A-Grade) P(k < Z < 1.7) = 0.57
f. (A-Grade) P(Z = k) = 0.00
Here Z is standard normal random variable i.e, Z~N(0,1)
a) P(Z<k)=0.92
Solution::
Here we need to find the value of k
P(Z<k)=0.92
From standard normal table we get
k=1.405
b) P(Z>k)=0.72
Solution::
Here we need to find the value of k
P(Z>k)=0.72
From standard normal table we get the value of
k=-0.583
c)
Solution::
Here we need to find the value of k
From the standard normal table we get the value of
k=-0.643
d) P(-1<Z<k)=0.60
Solution::
Here we need to find the value of k
P(-1<Z<k)=0.60
[From standard normal table we get the value of ]
From standard normal table we get the value of
k=0.703
e) P(k<Z<1.7)=0.57
Solution::
Here we need to find the value of k
P(k<Z<1.7)=0.57
[ From the standard normal table we get ]
From the standard normal table we get the value of
k=-0.292
f) P(Z=k)=0.00
Solution::
Here we need to find the value of k
Here, Z~N(0,1) i.e, Z is a continuous random variable
So, in any particular point probability is zero
So, for any real value of k, P(Z=k)=0.00
[ since the range of the random variable Z is whole real line i.e, ]