SOLUTIONS
MANUAL
JOSEPH W. M CKEAN
INTRODUCTION TO
MATHEMATICAL STATISTICS
EIGHTH EDITION
Robert V. Hogg Joseph W. McKean Allen T. Craig 1 / 4
Contents
- Probability and Distributions 1
- Multivariate Distributions 11
- Some Special Distributions 19
- Some Elementary Statistical Inferences 31
- Consistency and Limiting Distributions 53
- Maximum Likelihood Methods 59
- Sufficiency 75
- Optimal Tests of Hypotheses 89
- Inferences about Normal Models 97
10 Nonparametric and Robust Statistics 113 11 Bayesian Statistics 131 iii
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Chapter 1 Probability and Distributions
1.2.1 Part (c):C1∩C2={(x, y):1
1.2.3C
1∩C2={mary,mray}.
1.2.6 lim
k→∞Ck={x:0
1.2.7 Part (b): lim
k→∞Ck=φ, because no point is in all the setsCk,k=1,2,3,...
1.2.9 Becausef(x) = 0 when 1≤x<10,
Q(C 3)= φ 10
f(x)dx= φ 1
6x(1−x)dx=1.
1.2.11 Part (c): Draw the regionCcarefully, noting thatx<2/3 because 3x/2<1.
Thus Q(C)= φ 2/3
Δ φ 3x/2 x/2 dy π dx= φ 2/3
xdx=2/9.
1.2.14 Note that
25 =Q(C)=Q(C
1)+Q(C 2)−Q(C 1∩C2)=19+16−Q(C1∩C2).
Hence,Q(C
1∩C2) = 10.
1.2.15 By studying a Venn diagram with 3 intersecting sets, it should be true that
11≥8+6+5−3−2−1=13.
It is not, and the accuracy of the report should be questioned.
1.3.3 P(C)= 1 2 + 1 4 + 1 8
+···=
1/2
1−(1/2)
=1.1
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Probability and Distributions2 1.3.6 P(C)= φ ∞
−∞
e −|x| dx= φ
−∞
e x dx+ φ ∞
e −x dx=2ξ=1.We must multiply by 1/2.
1.3.8 P(C c 1 ∪C c 2
)=P[(C 1∩C2)
c
]=P(C)=1,
becauseC 1∩C2=φandφ c =C.
1.3.11 The probability that he does not win a prize is
ξ 990 5 σ / ξ 1000 5 σ .
1.3.13 Part (a): We must have 3 even or one even, 2 odd to have an even sum.
Hence, the answer is ψ 10 3 ρψ 10
ρ ψ 20 3 ρ+ ψ 10 1 ρψ 10 2 ρ ψ 20 3 ρ.
1.3.14 There are 5 mutual exclusive ways this can happen: two “ones”, two “twos”,
two “threes”, two “reds”, two “blues.” The sum of the corresponding proba- bilities is ψ 2 2 ρψ 6
ρ + ψ 2 2 ρψ 6
ρ + ψ 2 2 ρψ 6
ρ + ψ 5 2 ρψ 3
ρ + ψ 3 2 ρψ 5
ρ ψ 8 2 ρ.
1.3.15
(a) 1− ψ 48 5 ρψ 2
ρ ψ 50 5 ρ (b) 1− ψ 48 n ρψ 2
ρ ψ 50 n ρ≥ 1 2 ,Solve for n.
1.3.20 Choose an integern
0>max{a −1 ,(1−a) −1 }. Then{a}=∩ ∞ n=n
ψ a− 1 n ,a+ 1 n ρ .Hence by (1.3.10), P({a}) = lim n→∞ P θξ a− 1 n ,a+ 1 n σχ = 2 n =0.
1.3.21 Choosen
0such that 0
- Since{a}=∩
∞ n=n
An,wehave P({a})=P ψ ∩ ∞ n=n
An ρ = lim n→∞ P(A n) = lim n→∞ 2 n =0..
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1.2.3C
1∩C2={mary,mray}.
1.2.6 lim
k→∞Ck={x:0 k→∞Ck=φ, because no point is in all the setsCk,k=1,2,3,... Q(C 3)= φ 10 f(x)dx= φ 1 6x(1−x)dx=1. Thus Q(C)= φ 2/3 Δ φ 3x/2 x/2 dy π dx= φ 2/3 xdx=2/9. Hence,Q(C It is not, and the accuracy of the report should be questioned. 1.3.3 P(C)= 1 2 + 1 4 + 1 8 1/2 =1.1 Probability and Distributions2 1.3.6 P(C)= φ ∞ e −|x| dx= φ e x dx+ φ ∞ e −x dx=2ξ=1.We must multiply by 1/2. 1.3.8 P(C c 1 ∪C c 2 c becauseC 1∩C2=φandφ c =C. ξ 990 5 σ / ξ 1000 5 σ . Hence, the answer is ψ 10 3 ρψ 10 ρ ψ 20 3 ρ+ ψ 10 1 ρψ 10 2 ρ ψ 20 3 ρ. two “threes”, two “reds”, two “blues.” The sum of the corresponding proba- bilities is ψ 2 2 ρψ 6 ρ + ψ 2 2 ρψ 6 ρ + ψ 2 2 ρψ 6 ρ + ψ 5 2 ρψ 3 ρ + ψ 3 2 ρψ 5 ρ ψ 8 2 ρ. (a) 1− ψ 48 5 ρψ 2 ρ ψ 50 5 ρ (b) 1− ψ 48 n ρψ 2 ρ ψ 50 n ρ≥ 1 2 ,Solve for n. 0>max{a −1 ,(1−a) −1 }. Then{a}=∩ ∞ n=n ψ a− 1 n ,a+ 1 n ρ .Hence by (1.3.10), P({a}) = lim n→∞ P θξ a− 1 n ,a+ 1 n σχ = 2 n =0. 0such that 0
∞ n=n An,wehave P({a})=P ψ ∩ ∞ n=n An ρ = lim n→∞ P(A n) = lim n→∞ 2 n =0.. 1.2.7 Part (b): lim
1.2.9 Becausef(x) = 0 when 1≤x<10,
1.2.11 Part (c): Draw the regionCcarefully, noting thatx<2/3 because 3x/2<1.
1.2.14 Note that
25 =Q(C)=Q(C
1)+Q(C 2)−Q(C 1∩C2)=19+16−Q(C1∩C2).
1∩C2) = 10.
1.2.15 By studying a Venn diagram with 3 intersecting sets, it should be true that
11≥8+6+5−3−2−1=13.
+···=
1−(1/2)
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−∞
−∞
)=P[(C 1∩C2)
]=P(C)=1,
1.3.11 The probability that he does not win a prize is
1.3.13 Part (a): We must have 3 even or one even, 2 odd to have an even sum.
1.3.14 There are 5 mutual exclusive ways this can happen: two “ones”, two “twos”,
1.3.15
1.3.20 Choose an integern
1.3.21 Choosen