In: Statistics and Probability
In each case, determine the value of the constant c that makes the probability statement correct. (Round your answers to two decimal places.)
(a) Φ(c) = 0.9850
(b) P(0 ≤ Z ≤ c) = 0.2939
(c) P(c ≤ Z) = 0.1251
(d) P(−c ≤ Z ≤ c) = 0.6528
(e) P(c ≤ |Z|) = 0.0128
Part a
φ(c) = 0.9850
c = φ’(0.9850)
c = 2.17009
(by using z-table)
c = 2.17
Part b
P(0≤Z≤c) = 0.2939
P(0≤Z≤c) = P(Z<c) – P(Z<0)
P(Z<c) – P(Z<0) = 0.2939
P(Z<c) – 0.5 = 0.2939
P(Z<c) = 0.2939 + 0.5 = 0.7939
c = 0.820028
(by using z-table)
c = 0.82
Part c
P(c≤Z) = 0.1251
P(c≤Z) = P(Z≥c) = P(Z>c) = 1 – P(Z<c) = 0.1251
P(Z<c) = 1 – 0.1251 = 0.8749
P(Z<c) = 0.8749
c = 1.149864
(by using z-table)
c = 1.15
Part d
P(-c≤Z≤c) = 0.6528
P(Z<-c) + P(Z>c) = 1 – 0.6528
P(Z<-c) + P(Z>c) = 0.3472
P(Z<-c) = 0.3772/2 = 0.1736
[For normal distribution, P(Z<-c) = P(Z>c)]
-c = -0.94003
(by using z-table)
c = 0.94
Part e
P(c≤|Z|) = 0.0128
P(-c<Z<c) = 0.0128
P(Z<-c) + P(Z>c) = 1 – 0.0128 = 0.9872
P(Z<-c) + P(Z>c) = 0.9872
2*P(Z<-c) = 0.9872
P(Z<-c) = 0.4936
[For normal distribution, P(Z<-c) = P(Z>c)]
-c = -0.01604
(by using z-table)
c = 0.02