No because
15b + 4 = 25.6
15b = 21.6
b = 1.44
0.6+15b+4 = 25.6
4.6 + 15b = 25.6
15b = 21
b = 1.4
The answers are not the same therefore they are not equivalent.
Answer:
0.25
Step-by-step explanation:
Answer with explanation:
A regular polygon is simple closed geometrical shape, only made up of line segments.
And Regular Tessellation, is geometrical shape, made up of regular polygons having, 3 ,or 4 or 6 sides.
It is combination of, only single kind of polygon,either, polygon having 3 sides, or ,4 sides or 6 sides.
→Regular polygon having 3 sides is Called Equilateral Triangle.
→Regular polygon having 4 sides is Called Square.
→Regular polygon having 6 sides is Called Regular Hexagon.
⇒Regular polygon having , 8 sides will not form a regular tessellation.
Option D
Answer:
50 newspapers
Step-by-step explanation:
100 (total amount of newspapers) - 25 (amount Edward already sold) = 75 (amount of newspapers left)
75 (amount of newspapers left) ÷ 3 (Edward and his 2 friends) = 25 (equal amount each person delivered)
25 (amount Edward already sold) + 25 (amount Edward sold after his friends helped him) = 50 (amount of newspapers Edward sold in total)
Answer:
The probability that there are 2 or more fraudulent online retail orders in the sample is 0.483.
Step-by-step explanation:
We can model this with a binomial random variable, with sample size n=20 and probability of success p=0.08.
The probability of k online retail orders that turn out to be fraudulent in the sample is:

We have to calculate the probability that 2 or more online retail orders that turn out to be fraudulent. This can be calculated as:
![P(x\geq2)=1-[P(x=0)+P(x=1)]\\\\\\P(x=0)=\dbinom{20}{0}\cdot0.08^{0}\cdot0.92^{20}=1\cdot1\cdot0.189=0.189\\\\\\P(x=1)=\dbinom{20}{1}\cdot0.08^{1}\cdot0.92^{19}=20\cdot0.08\cdot0.205=0.328\\\\\\\\P(x\geq2)=1-[0.189+0.328]\\\\P(x\geq2)=1-0.517=0.483](https://tex.z-dn.net/?f=P%28x%5Cgeq2%29%3D1-%5BP%28x%3D0%29%2BP%28x%3D1%29%5D%5C%5C%5C%5C%5C%5CP%28x%3D0%29%3D%5Cdbinom%7B20%7D%7B0%7D%5Ccdot0.08%5E%7B0%7D%5Ccdot0.92%5E%7B20%7D%3D1%5Ccdot1%5Ccdot0.189%3D0.189%5C%5C%5C%5C%5C%5CP%28x%3D1%29%3D%5Cdbinom%7B20%7D%7B1%7D%5Ccdot0.08%5E%7B1%7D%5Ccdot0.92%5E%7B19%7D%3D20%5Ccdot0.08%5Ccdot0.205%3D0.328%5C%5C%5C%5C%5C%5C%5C%5CP%28x%5Cgeq2%29%3D1-%5B0.189%2B0.328%5D%5C%5C%5C%5CP%28x%5Cgeq2%29%3D1-0.517%3D0.483)
The probability that there are 2 or more fraudulent online retail orders in the sample is 0.483.