In Exercises 19-30, use the following equivalents, along with dimensional analysis, to convert the given measurement to the unit indicated. When necessary, round answers to two decimal places. 16 oz =1 lb 2000 lb = 1 T 1 oz ≈ 28 g 1 lb ≈ 0.45 kg 1 T ≈ 0.9 t 220 kg to lb
In Exercises 19-30, use the following equivalents, along with dimensional analysis, to convert the given measurement to the unit indicated. When necessary, round answers to two decimal places. 16 oz =1 lb 2000 lb = 1 T 1 oz ≈ 28 g 1 lb ≈ 0.45 kg 1 T ≈ 0.9 t 220 kg to lb
Solution Summary: The author explains how to convert 220 kg to lb using the equation.
In Exercises 19-30, use the following equivalents, along with dimensional analysis, to convert the given measurement to the unit indicated. When necessary, round answers to two decimal places.
16
oz
=1
lb
2000
lb
=
1
T
1
oz
≈
28
g
1
lb
≈
0.45
kg
1
T
≈
0.9
t
The following table describes the probability distribution of the number of
Mexican-Americans serving on a 12-member jury in Hidalgo County, Texas.
Assuming we repeat the random selection process for the 12 jurors and count the
number of Mexican-Americans each time, calculate the mean number of
Mexican-Americans (out of 12), the variance, and the standard deviation. Use these
results and the interval rule of thumb to calculate the highest common value and the
lowest common value. Based on the results, determine whether a jury consisting of 7
Mexican-Americans out of 12 jurors is common or uncommon.
Probability distribution: probabilities of
numbers of Mexican-Americans on a
12-member jury, assuming the
members are randomly selected from
a population in which 80% of the
inhabitants are Mexican-American
x
(méxico-
estadouni-
P(x)
denses)
0
0+
1
0+
2
0+
3
0+
4
0.001
5
0.003
6
0.016
7
0.053
8
0.133
9
0.236
10
0.283
11
0.206
12
0.069
dx dy dz
Given that u = u(x, y, z) = c, v=v(x, y, z) = c, are solutions of PQ
Show that F(u,v)=0 is a general solution of the Lagrange's equation
Pp+Qg=R.
R
Using method of separation of variables to find solution of the given Initial Boundary Value Problem
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