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Calculus 2nd Edition Rogawski

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476 CHAPTER 8 TECHNIQUES OF INTEGRATION<br />

69. Compute p(X ≤ 1), where X is a continuous random variable<br />

1<br />

with probability density p(x) =<br />

π(x 2 + 1) .<br />

70. Show that p(x) = 1 4 e−t/2 + 1 6 e−t/3 is a probability density and<br />

find its mean.<br />

71. Find a constant C such that p(x) = Cx 3 e −x2 is a probability<br />

density and compute p(0 ≤ X ≤ 1).<br />

72. The interval between patient arrivals in an emergency room<br />

is a random variable with exponential density function p(x) =<br />

0.125e −0.125t (t in minutes). What is the average time between patient<br />

arrivals? What is the probability of two patients arriving within 3<br />

minutes of each other?<br />

73. Calculate the following probabilities, assuming that X is normally<br />

distributed with mean µ = 40 and σ = 5.<br />

(a) p(X ≥ 45) (b) p(0 ≤ X ≤ 40)<br />

74. According to kinetic theory, the molecules of ordinary matter are<br />

in constant random motion. The energy E of a molecule is a random<br />

variable with density function p(E) = kT 1 e−E/(kT ) , where T is the<br />

temperature (in kelvins) and k is Boltzmann’s constant. Compute the<br />

mean kinetic energy E in terms of k and T .<br />

In Exercises 75–84, determine whether the improper integral converges<br />

and, if so, evaluate it.<br />

∫ ∞<br />

∫<br />

dx<br />

∞ dx<br />

75.<br />

0 (x + 2) 2 76.<br />

4 x 2/3<br />

77.<br />

∫ 4<br />

∫<br />

dx<br />

∞ dx<br />

0 x 2/3 78.<br />

9 x 12/5<br />

79.<br />

∫ 0<br />

∫<br />

dx<br />

9<br />

−∞ x 2 80. e 4x dx<br />

+ 1<br />

−∞<br />

81.<br />

∫ π/2<br />

∫ ∞ dx<br />

cot θ dθ 82.<br />

0<br />

1 (x + 2)(2x + 3)<br />

∫ ∞<br />

∫ 5<br />

83. (5 + x) −1/3 dx 84. (5 − x) −1/3 dx<br />

0<br />

2<br />

In Exercises 85–90, use the Comparison Test to determine whether the<br />

improper integral converges or diverges.<br />

∫ ∞<br />

∫<br />

dx<br />

∞<br />

85.<br />

8 x 2 86. (sin 2 x)e −x dx<br />

− 4<br />

8<br />

∫ ∞<br />

∫<br />

dx<br />

∞ dx<br />

87.<br />

3 x 4 + cos 2 88.<br />

x<br />

1 x 1/3 + x 2/3<br />

∫ 1<br />

∫<br />

dx<br />

∞<br />

89.<br />

0 x 1/3 + x 2/3 90. e −x3 dx<br />

0<br />

91. Calculate the volume of the infinite solid obtained by rotating the<br />

region under y = (x 2 + 1) −2 for 0 ≤ xα.<br />

∫ 5<br />

96. Estimate f (x) dx by computing T 2 , M 3 , T 6 , and S 6 for a<br />

2<br />

function f (x) taking on the values in the following table:<br />

x 2 2.5 3 3.5 4 4.5 5<br />

f (x)<br />

1<br />

2 2 1 0 − 3 2 −4 −2<br />

97. State whether the approximation M N or T N is larger or smaller<br />

than the integral.<br />

∫ π<br />

∫ 2π<br />

(a) sin xdx<br />

(b) sin xdx<br />

0<br />

π<br />

∫ 8<br />

∫<br />

dx<br />

5<br />

(c)<br />

1 x 2<br />

(d) ln xdx<br />

2<br />

98. The rainfall rate (in inches per hour) was measured hourly during<br />

a 10-hour thunderstorm with the following results:<br />

0, 0.41, 0.49, 0.32, 0.3, 0.23,<br />

0.09, 0.08, 0.05, 0.11, 0.12<br />

Use Simpson’s Rule to estimate the total rainfall during the 10-hour<br />

period.<br />

In Exercises 99–104, compute the given approximation to the integral.<br />

∫ 1<br />

∫ 4 √<br />

99. e −x2 dx, M 5 100. 6t 3 + 1 dt, T 3<br />

0<br />

2<br />

∫ π/2 √<br />

∫ 4 dx<br />

101. sin θ dθ, M4 102.<br />

π/4<br />

1 x 3 + 1 , T 6<br />

∫ 1<br />

∫ 9<br />

103. e −x2 dx, S 4 104. cos(x 2 )dx, S 8<br />

0<br />

5<br />

105. The following table gives the area A(h) of a horizontal cross section<br />

of a pond at depth h. Use the Trapezoidal Rule to estimate the<br />

volume V of the pond (Figure 1).<br />

h (ft) A(h) (acres) h (ft) A(h) (acres)<br />

0 2.8 10 0.8<br />

2 2.4 12 0.6<br />

4 1.8 14 0.2<br />

6 1.5 16 0.1<br />

8 1.2 18 0

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