We need to find the probabilities for each required z-score.
A z-score table shows the probability associated with values less than a specific z-score.
Thus, in order to use a z-score table to solve this problem, we need to notice that the probability that z is greater than a certain number equals the whole probability (1) minus the probability that z is less than that number.
The probability associated with a z-score less than 2.25 is shown above.
We have the table below with some negative z-scores:
Thus, we have:
[tex]\text{ a. }p\left(z>2.25\right)=1-p(z<2.25)\cong1-0.9878=0.0122[/tex][tex]\text{ b. }p\left(z>−1.20\right)=1-p(z<-1.20)\cong1-0.1151=0.8849[/tex][tex]\text{ c. }p\left(z<0.40\right)=0.6554[/tex][tex]\text{ d. }p\left(z<-1.75\right)=0.0401[/tex]Answers
a. 0.0122
b. 0.8849
c. 0.6554
d. 0.0401