4 tons is maximum weight that could be supported by a beam that is 6 inches wide, 2 inches high, and 24 feet long
Gravitational force of attraction on an object, caused by the presence of a massive second object, such as the Earth or Moon.
Given,
Maximum weight that a certain type of rectangular beam can support varies inversely as it’s length and jointly as its width and the square of its height.
beam 5 inches wide, 2 inches high and 10 feet long can support a maximum weight of 8 tons.
W = k × w × h²/ L
8 = k × 5 × 2² / 10
8 = k ×20/10
8 = 2 × k
k = 4
The maximum weight that could be supported by a beam that is 6 inches wide, 2 inches high, and 24 feet long
w =4 ×6 ×2² / 24
= 24 ×4/ 24
W=4 tons
Hence 4 tons is maximum weight that could be supported by a beam that is 6 inches wide, 2 inches high, and 24 feet long
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Way: W = k * w * h^2/ L
For this case, we have that by definition:
Then we can rewrite the given expression as:
For properties of roots we have that:
So:
So, we have to:
ANswer:
Option A
Step-by-step explanation:
what is your question please
The question is missing parts. Here is the complete question.
Quadrilateral PQRS (shown below) is an isosceles trapezoid. If RP = 12, then SQ = ?
Answer: SQ = 12
Step-by-step explanation: A trapezoid is a quadrilateral with two opposite parallel sides, called bases. The trapezoid is an isosceles trapezoid when the non-parallel sides have the same length.
One property of isosceles trapezoid is that its diagonals are congruent, i.e., have the same length.
In the picture, segment RP is one of the trapezoid's diagonal. It is asking the measure of SQ, which is the other diagonal. So:
SQ = RP
SQ = 12
Segment SQ of isosceles trapezoid PQRS is 12 units.
Answer:
if quadrilateral PQRS is an isosceles trapezoid if RP=12 then SQ= 12
Step-by-step explanation:
Answer:
0.2605, 0.2188, 1.33, 4, 1.0540, 1.4142
Step-by-step explanation:
A fair die is rolled 8 times.
a. What is the probability that the die comes up 6 exactly twice?
b. What is the probability that the die comes up an odd number exactly five times?
c. Find the mean number of times a 6 comes up.
d. Find the mean number of times an odd number comes up.
e. Find the standard deviation of the number of times a 6 comes up.
f. Find the standard deviation of the number of times an odd number comes up.
a. A die is rolled 8 times. If A represent the number of times a 6 comes up. For a fair die the probability that the die comes up 6 is 1/6 - Thus A ~ Bin(8, 1/6)
The probability mass function of the random variable A is
hence, p(6 twice) implies P(A=2)
that is P(2) substitute A = 2
p(2) = 0.2605
b. If B represent the number of times an odd number comes up. For the fair die the probability that an odd number comes up is 0.5.
Thus B ~ Bin(8, 1/2 )
The probability mass function of the random variable B is given by
hence p(odd comes up 5 times) is
p(5) = 0.2188
c. let the mean no of times a 6 comes up be μₐ
and let the total number of outcomes be n
using the formula μₐ = nρₐ
μₐ = 8 * 1/6
= 1.33
d. let the mean nos of times an odd nos comes up beμₓ
let the total outcomes be n = 8
let the probability odd be pb = 1/2
μₓ = npb
= 8 * (1/2)
= 4
e. the standard deviation of a random variable A is given as follows
σₐ
where p = 1/6 (prob 6 outcome)
n = total outcomes = 8
= 1.0540
f. the standard dev of the binomial random variable Y is given by
σ
where p = 1/2 and n = 8
=
= 1.4142
5(2x - 9) + 3 =-
Answer:
Step-by-step explanation:
5(2x-9)+3
10x - 45 +3
10x - 42
x- 4.2
The probability of at most three boys in ten births is approximately 0.17139, or about 17.14%.
It is a branch of mathematics that deals with the occurrence of a random event.
This is a binomial probability problem with n = 10 (number of births) and p = 0.5 (probability of a boy or a girl).
We want to find the probability of at most three boys in ten births, which is equivalent to finding the probability of 0, 1, 2, or 3 boys.
To calculate this probability, we can use the binomial probability formula:
P(X ≤ 3) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3)
= 0.00098 + 0.00977 + 0.04395 + 0.11719
= 0.17139
Therefore, the probability of at most three boys in ten births is approximately 0.17139, or about 17.14%.
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Answer:
Step-by-step explanation:
This is a binomial distribution
The probability of at most 3 boys=
P(exactly 0 boys)+P(exactly 1 boy)+P(exactly 2 boys)+P(exactly 3 boys)
.171875