Answer :
Answer:
a)[tex]x_L =96.62[/tex]
b) P(80<x<90)=0.6554-0.3949=0.2606
c) P(A | sophomores)=0.5178
d) μ=90.67
Step-by-step explanation:
a)
Step 1: establish the inequality
P(x<xL)=0.8, where x= random variable
Step 2: standardization
[tex]z=(x_L -[/tex]μ)/σ=([tex]x_L[/tex]-84)/15
Step 3: Find z in z-table
[tex]z_(0.8)= 0.8416[/tex]
Step 4:
([tex]x_L[/tex]-84)/15=0.8416 ->[tex]x_L =96.62[/tex]
b)
Step 1: establish the inequality
P(80<x<90)
Step 2: standardization
z=(80-84)/15= -0.2667
z=(90-84)/15= 0.4
Step 3: simplify
P(80<x<90)=P( -0.2667<z<0.4)=P(z<0.4)-P(z<-0.2667)
Step 4: look for probability in z-table
P(80<x<90)=0.6554-0.3949=0.2606
c) total probability theorem
P(A)=P(A∩freshman)+P(A∩sophomores)=P(A | freshman)*P(freshman)+P(A | sophomores)*P(sophomores)=P(x>90)*0.68+P(A | sophomores)*(1-0.68)=(1-0.6554)*0.68+P(A | sophomores)*0.32=0.4
then
P(A | sophomores)=0.5178
d)
Step 1: establish the inequality
P(y>90)=0.5178, where y= random variable
Step 2: standardization
z=(y-μ)/σ=(90-μ)/15
Step 3: Find z in z-table
[tex]z_(1-0.5178)= -0.0446[/tex]
Step 4:
(90-μ)/15=-0.0446 ->μ=90.67