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Solutions to various statistical problems, including calculating the budget level that bob spends below 90% of the time, the credit score value that 75% of applicants exceed, and statistical properties of test scores. It uses the normal distribution and z-tables to find the answers.
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Solutions PS III
) P (
E E E
E E E ) = P (z E 80 10 ) = 0: 90 : Let z^ = E 80 10 From the z table, the value of z^ that corresponds to this probability is
z = 1: 285 ) z = E 80 10
= 1:285(10) + 80 = 92: 85 With this budget, Bob will spend less that this amount 90% of the time.
above. We want S such that P (S S ) = 0: 75
) P (
S S S ^
S 600 100 ) = 0:^75 ) P (z z ) = 0: 75 ; where z = S 600 100 ) 1 P (z z ) = 1 0 :75 = 0: 25 The corresponding value of z from the z table is 0 : 68 ) S
600 100
75% of the applicants will have a credit score exceeding 532.
(ii) For this problem, we consider 80% of the area symmetric about the mean. P (SL S SU ) = 0: 80 ) P (S SU ) P (S SL) = 0: 80 ) P (z SU 600 100 ) P (z SL 600 100
Now since we are looking at an 80% area symmetric about the mean, and
since the normal is a symmetric distribution,
P (z SU 600 100 ) =^ P^ (z^ ^
SL 600 100 ) = 0:^10 Working with the lower limit, let SL 600 100 = z: From the z tables, the cor-
responding value of z^ such that P (z z) = 0: 10 is 1 : 28
) z^ = SL 600 100
For the upper limit: P (z SU 600 100 ) = 0: 10 ) P (z SU 600 100
Let z^ = SU 600 100
. Then the corresponding value of z^ from the table is 1 : 28 ) SL = 600 + 128 = 728
Then for Hasbin:
E(H) = E(T + 50) = 25 + E(50) = 75
2 (H) =V ar(T + 25) = V ar(T ) + 0 = 36
For Upstart:
E(H) = E(3T ) = 3E(T ) = 3(25) = 75
^2 (U ) = V ar(3T ) = 9V ar(T ) = 9 36 = 324
(U ) = 18
F;C =
Cov(F;C) p V ar(F )
p V ar(C)
: Consider the numerator
Cov(F; C) = Cov(F; a + bF ) = Cov(a; F ) + Cov(bF; F )
= 0 + Cov(F; bF ) = E(F bF ) E(F )E(bF ) (by the covariance formula)
= E(bF 2 ) E(F ) bE(F )
bE(F 2 ) b(E(F )) 2 = b[E(F 2 ) (E(F )) 2 ] = bV ar(F )
Now consider the denominatorp
V ar(F )
p V ar(C) =
p V ar(F )
p V ar(a + bF )
=
p V ar(F )
p V ar(a) + b^2 V ar(F )
Since a constant has zero variance,
=
p V ar(F )
p b^2 V ar(F ) = b[
p V ar(F )] 2 = bV ar(F )
So the numerator and denominator are identical. QED:
V ar(T ) = V ar(M + V ) = V ar(M ) + V ar(V ) + 2Cov(M; V )
M V = Cov(M;V ) M V
Cov p (M;V ) 750
p 610 ) Cov(M; V ) = 270: 552
V ar(T ) = 750 + 610 + 2(270:552) = 1901: 10