MATH 511, Meade
HW Solutions
3.2 –3 (omit c), 5, 14, 18,
**3c, **8 2/13/04
3.
a. f(x) = x/10, x =
1,2,3,4
E(x) = (1) (1/10) + (2) (2/10) + (3) (3/10) + (4) (4/10)
= (1 + 4 +
9 + 16 )/10 = 30/10 = 3
b. f(x) = x/55 , x = 1, 2, 3, 4 ,5 , 6, 7, 8, 9, 10
E(x) = x=1∑10
x2/55 = [(10)(11)(21)/(6)]/55 = 385/55 = 7
**c. f(x) = 3(1/4)x ,
x = 1, 2, 3, …
E(x) = x=1∑∞ 3x (1/4)x = x=1∑∞ 3x/4x
≤ x=1∑∞ 3x/4x
= 3
This assures that the series does indeed converge. The
series, x=1∑∞ x/4x ,
can now be approximated. After about ten approximations it
is clear that
the series converges to 0.44444… which is 4/9.
So the E(X) = 3(4/9) = (4/3)
d. f(x) = (1/30)(x+1)2
, x = 0, 1, 2, 3
E(x) = (1/30) [ 0 + 4 + 18 + 48] = 70/30 = 7/3
e. f(x) = 2/n(n+1)x ,
x = 1, 2, 3, …, n
E(x) =2/n(n+1) i=1∑n x2
= [2/n(n+1)] [n(n+1)(2n+1)/6)] = (2n+1)/3
5. E(x) = [2,987,994(0) +
12,000(25) + 4(10,000) + 1(50,000) + 1(200,000)] - 0.50
3,000,000
= 19 ⅔ cents – 50 cents = - 30⅓ cents
**8. f(x) = 6/( p2x2),
x = 1, 2, 3, …
E(x) = (6/ p2) x=1∑∞ x/x2 = (6/ p2)
x=1∑∞ 1/x ; this is the harmonic series, which
diverges. Therefore E(x) does not exist. One way to
show this is the
integral test for infinite series.
14.
a. [16(25) + 3(100) +
1(300)]/20 = 1,000/20 = 50. Note that this makes sense: 1000 students
divided into 20 classes; the average class size must be 1000/20=50.
b. f(x) = 0.4, x = 25
= 0.3, x = 100
= 0.3, x = 300. Note that here you are
selecting a random student, not a random class.
c. E(x) = 25(0.4) + 100(0.3) + 300(0.3) = 130
18.
a. E[(X - m) / s] = (1/s) E(X - m) = (1/s) [E(X) – E(m)] =(1/s) [m
– m] = 0
b. E{[(X – m) / s]2} = (1/s2) (E[(X – m)2])
= (1/s2) (E(X2)
– 2mE(X) + m2)
= (1/s2) (E(X2)
– 2m2 + m2) = (1/s2) (E(X2)
– m2)
= (1/s2) s2 = 1
3.3 – 3, 5, 7(abc), 14,
**7(de)
3. There is six-question
multiple choice test with five possible answers, only one
of which is correct. If a student guesses randomly and
independently, then
what is the probability that:
a. The student gets questions 1 and 4 correct.
(0.2)2(0.8)4
= 0.0164
b. The student gets
exactly two questions right. 6C2 (0.2)2(0.8)4
= 0.2458
5. The number of people who
believe that the IRS abuses their power has a
binomial distribution. b(25,0.7). In order to solve this
problem using Appendix
C, Table II, one needs to convert the problems so that p
≤ 0.5.
So Let Y = the number who do not believe the IRS abuses their
power. Y has
a distribution of b(25, 0.3).
a. P(X ≥ 13) = P(Y ≤ 12) = 0.9825
b. P(X ≤ 11) = P(Y ≥ 14) = 1 – P(Y < 14) = 1 –
P(Y ≤ 13) = 1 – 0.9940 = 0.0060
c. P(X = 12) = 25C12 (0.7)12(0.3)13
= 0.0115
d. m(x) = np = (25)(0.7) = 17.5
s2 (x) = np(1 – p) = (25)(0.7)(0.3) = 5.25
s(x) = √s2 = 2.29
7.
a. W has a binomial distribution b(2000, p/4). The probabilty comes from that
the fact that exactly one fourth of the unit circle sits
inside the unit square.
The area of the unit circle is Acircle(r = 1) = p(1)2 = p.
b. m(w) = np = (2000)( p/4) = 1,570.796
s2 (w) = np(1 – p) = (2000)( p/4)(1 - p/4)= 337.096
s(w)= √s2 = 18.360
c. E(W/500) = m(w)/500 = p
**d. Click on the Excel link on the solutions column for a
spreadsheet concerning
parts d and e of this problem.
**e. Notice that exactly one eighth of the unit sphere is
contained in the unit cube
The volume of the unit sphere is (4/3) p. So the probability that a point on
The unit cube is also on the unit sphere is (1/8) (4/3) p = p/6
14.
a. X = b(8, 0.90), Let Y = number of mints
weighing less than 20.7g = b(8, 0.10)
b.
i. P(X = 8) = 8C8 (0.90)8(0.10)0
= 0.4305
ii. P(X ≤ 6) = P(Y ≥ 2) = 1 – P(Y < 2) = 1
– P(Y ≤ 1) = 1 – 0.8131 = 0.1869
iii. P(X ≥ 6) = P(Y ≤ 2 = 0.9619