Answer:

Explanation:
Given

Required
Determine the percentage error
First, we calculate the mean

This gives:



Next, calculate the mean absolute error (E)

This gives:
![|E| = \sqrt{\frac{1}{6}*[(1.54 - 1.51)^2 +(1.53- 1.51)^2 +.... +(1.45- 1.51)^2]}](https://tex.z-dn.net/?f=%7CE%7C%20%3D%20%5Csqrt%7B%5Cfrac%7B1%7D%7B6%7D%2A%5B%281.54%20-%201.51%29%5E2%20%2B%281.53-%201.51%29%5E2%20%2B....%20%2B%281.45-%201.51%29%5E2%5D%7D)



Next, calculate the relative error (R)



Lastly, the percentage error is calculated as:


The crust. The crust dude! Have you seen the layers of the earth?
Answer:
Wave frequency can be measured by counting the number of crests (high points) of waves that pass the fixed point in 1 second or some other time period. The higher the number is, the greater the frequency of the waves. ... For example, it is the distance between two adjacent crests in the transverse waves in the diagram.
Explanation: