The sine integral , defined as S ( x ) = ∫ 0 x sin t t d t is an important quantity in engineering. Although it does not have a simple closed formula, it is possible to estimate its behavior for large x . Show that for k ≤ 1 , k ≤ 1 , | S ( 2 π k ) − S ( 2 π ( k + 1 ) ) | ≤ 1 k ( 2 k + 1 ) π . ( Hint : sin ( t + π ) = − sin t )
The sine integral , defined as S ( x ) = ∫ 0 x sin t t d t is an important quantity in engineering. Although it does not have a simple closed formula, it is possible to estimate its behavior for large x . Show that for k ≤ 1 , k ≤ 1 , | S ( 2 π k ) − S ( 2 π ( k + 1 ) ) | ≤ 1 k ( 2 k + 1 ) π . ( Hint : sin ( t + π ) = − sin t )
The sine integral, defined as
S
(
x
)
=
∫
0
x
sin
t
t
d
t
is an important quantity in engineering. Although it does not have a simple closed formula, it is possible to estimate its behavior for large x. Show that for
k
≤
1
,
k
≤
1
,
|
S
(
2
π
k
)
−
S
(
2
π
(
k
+
1
)
)
|
≤
1
k
(
2
k
+
1
)
π
.
(
Hint
:
sin
(
t
+
π
)
=
−
sin
t
)
With differentiation, one of the major concepts of calculus. Integration involves the calculation of an integral, which is useful to find many quantities such as areas, volumes, and displacement.
Example 4 (Part 2) We can use Statkey to take 50 different random samples of size 20 each, find the mean of
each sample, and compute a confidence interval for each one. The graph of the sampling distribution of the means
is on the left below, and that of the 50 confidence intervals is on the right.
1. What does each dot on the left hand dotplot represent?
StatKey Sampling Distribution for a Mean
Percent with Internet Access (Countries) ▾
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Choose samples of size n =
20
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Sampling Dotplot of Mean
Left Tail Two-Tail Right Tail
60
50
40
40
30
20
20
10
samples = 50
mean = 41.626
std. error = 5.089
:
.:
:
::
0
25
30
35
40
45
50
55
60
41.626
Data Plots
Confidence Intervals
95%->
Confidence Intervals
Coverage
48/50 = 96%
20
40
60
80
2. Circle the confidence intervals that failed to capture the true mean.
3. Circle the sample means that produced those…
University Calculus: Early Transcendentals (4th Edition)
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