. we need like a picture you something what’re you trying to ask
A compound
Explanation:
A compound machine is the combination of two or more simple machines.
An example is bicycle.
- A simple machine is a device that is used to increase the magnitude of force.
- It is a basic mechanical unit.
- Examples are inclined planes, lever systems, wheel and axle.
- A compound machine is a combination of these simple machines.
learn more:
lever brainly.com/question/5352966
#learnwithBrainly
Does height or distance affect impact?
You can test that and do your project about that or you can grow algae
<span>you would notice that they're going out from the proton.</span>
Answer:
(D) 4
Explanation:
The percentage error in each of the contributors to the calculation is 1%. The maximum error in the calculation is approximately the sum of the errors of each contributor, multiplied by the number of times it is a factor in the calculation.
density = mass/volume
density = mass/(π(radius^2)(length))
So, mass and length are each a factor once, and radius is a factor twice. Then the total percentage error is approximately 1% +1% +2×1% = 4%.
_____
If you look at the maximum and minimum density, you find they are ...
{0.0611718, 0.0662668} g/(mm²·cm)
The ratio of the maximum value to the mean of these values is about 1.03998. So, the maximum is 3.998% higher than the "nominal" density.
The error is about 4%.
_____
<em>Additional comment</em>
If you work through the details of the math, you will see that the above-described sum of error percentages is <em>just an approximation</em>. If you need a more exact error estimate, it is best to work with the ranges of the numbers involved, and/or their distributions.
Using numbers with uniformly distributed errors will give different results than with normally distributed errors. When such distributions are involved, you need to carefully define what you mean by a maximum error. (By definition, normal distributions extend to infinity in both directions.) While the central limit theorem tends to apply, the actual shape of the error distribution may not be precisely normal.
