percent change = ((new value) - (reference value))/(reference value) × 100%
... = (487 -65)/65 × 100%
... = 422/65 × 100%
... = 6.492 × 100%
... ≈ 649%
The gestation period of rhinos is 649% longer than the gestation period of dogs.
Answers:
- Problem 13) M, N, L
- Problem 14) N, L, M
For each answer above, the angles are sorted from smallest to largest.
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Explanation:
The general rule used here is: the smallest side is always opposite the smallest angle. Similarly, the largest side is always opposite the largest angle. This trick only works for triangles.
For problem 13, the smallest angle is M because the shortest side is opposite this angle (side NL = 12). The largest side is MN = 21, making the angle opposite this (angle L) to be the largest angle.
We do not need to compute the actual angle values, though you could if you wanted. To find the angle values, you would use the law of cosines. The steps for this are fairly lengthy, so I'll just use the trick mentioned above.
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Problem 14 is the same idea. Here LM = 7 is the shortest side this time, leading to angle N as the opposite angle that's the smallest of the three angles. Angle M is the largest angle because NL = 14 is the longest side.
Answer:
3/12 + 239/12 = 20.16...
2309/23 + 32/32= 101.39
34/234 + 349/234=1.64
23/23-11/23= 0.52
57/78-32/78 = 0.32
Step-by-step explanation:
Just divide both sides first and then add, so it is easier to get your answer.
My answers are all rounded or repeated.
I hope this helps!
-No one
Answer:
B. No. He should have put the x values in the
denominator and the y values in the numerator.
Step-by-step explanation:
Took the assignment
P(most favorable outcome) = 1 -(0.03 +0.16 -0.01) = 0.82
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"repair fails" includes the "infection and failure" case, as does "infection". By adding the probability of "repair fails" and "infection", we count the "infection and failure" case twice. So, we have to subtract the probability of "infection and failure" from the sum of "repaire fails" and "infection" in order to count each bad outcome only once.
The probability of a good outcome is the complement of the probability of a bad outcome.
