Answer:
The correct option is:
Building B; it is around 16.35 feet taller than building A.
Step-by-step explanation:
Consult the diagram below where the first figure represent building A and second figure represents building B
For building A:
tan θ = Perpendicular / Base
tan 73° = Height of building A / 30
Height of building A = tan73 · 30
Height of building A = 98.13 ft
For building B:
tan θ = Perpendicular / Base
tan 73° = Height of building B / 35
Height of building A = tan73 · 35
Height of building A = 114.48 ft
Building B is taller
Difference in height = height of building B - height of building A
Difference in height = 114.48 - 98.13 = 116.35 feet
Answer:
Step-by-step explanation:
ah, probability, so the std. deviation is 2 MPH, so that means to get from the mean.. or average speed of 94, he'll have to vary by 3 std. deviations or 6 MPH to hit 100
99.7% of throws fall into that area of with in 3 std. deviations so that means
0.3% fall outside also , 1/2 of those will 3 std. deviations slow while the other half is fast
so
0.15% will be 100 or faster.... not many
Answer:
a + b =1
Step-by-step explanation:
Write the given quadratic as x^2 – 1x – 90 = 0. This factors into
(x - 10)(x + 9) = 0, and so the roots/solutions are {-9, 10}.
If we call -9 "a" and 10 "b," then the sum a + b is -9 + 10, or a + b =1.
Answer:
And we can find this probability using the complement rule and we got:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:
Where 
and 
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule and we got:
Answer:
This is achieved for the specific case when high quantum number with low resolution is present.
Step-by-step explanation:
In Quantum Mechanics, the probability density defines the region in which the likelihood of finding the particle is most.
Now for the particle in the box, the probability density is also dependent on resolution as well so for large quantum number with small resolution, the oscillations will be densely packed and thus indicating in the formation of a constant probability density throughout similar to that of classical approach.
