In: Math
Z scores for a standard Normal distribution
1)
Z1 be the z score that has an area of 0.4321 to it's
left i.e P(Z
Z1) =0.4321
From Standard normal tables; P(Z
-0.17)
= 0.4325 (nearest to 0.4321)
Z1 = -0.17
Z score = -0.17
z score that has an area of 0.4321 to its left = -0.17
2)
Z2 be the z score that has an area of 0.4321 to it's right i.e P(Z < Z2) =0.3675
P(Z>Z2) = 1-P(Z
Z2)
=1 - 0.3675=0.6325
From Standard normal tables; P(Z
0.34)
= 0.6331 (nearest to 0.6325)
Z2 = 0.34
Z score = 0.34
the z score that has an area of 0.3675 to its right = 0.34
X scores for a Normal Distribution
3.) x score that has an area of 0.8321 to its left ( mean = 100, SD = 15)
X1 : x score that has an area of 0.8321 to its left
i.e P(X
X1)
= 0.8321
Z1 be the z-score for X1 : Z1 = (X1 - mean)/SD = (X1-100)/15 ; X1 = 100+15Z1
P(Z
Z1)
= P(X
X1)
= 0.8321
From standard normal tables,
P(Z
0.96)
= 0.8315(nearest to 0.8321)
Z1 = 0.96
X1 = 100+15Z1 = 100 + 15 x 0.96 = 114.4
x score that ans area of 0.8321 to its left = 114.4
4.) x score that has an area of 0.78 to its right. ( mean = 200, SD = 20)
X2: x score that has an area of 0.78 to it's right i.e P(X>X2) = 0.78
Z2 be the z-score for X2 : Z2 = (X2- mean)/SD = (X2-200)/20 ; X2 = 200+20Z2
P(X>X2) = 1- P(X
X2)
= 0.78 ; P(X
X2)
=1-0.78=0.22
P(Z
Z2)
= P(X
X2)
= 0.22
From standard normal tables,
P(Z
-0.77)
= 0.2206(nearest to 0.8321)
Z2 = -0.77
X2 = 200+20Z2 =200 + 20 x -0.77 =200-15.4=184.6
x score that has an area of 0.78 to it's right = 184.6