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<h2>✏Answer ✏</h2>
<em>The short answer is to reduce the uncertainty in your measurement of the period. ... If you are using a stopwatch and manual timing- then your uncertainty in timing an interval is likeley to be about say 0.2 s . If the period of the pendulum is about 1 second then 0.2 s uncertainty corresponds to about 20% .</em>
Explanation:
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For a proton moving west and enters a magnetic field. So in as much as the magnetic field the proton curves upward, we may conclude that the magnetic field must have a component towards the south
<h3>What is magnetic field?</h3>
Magnetic field can simply be defined as tat region the portion of space around or near a magnetic body or a current-carrying body in which the magnetic forces due to the body or current can be detected.
So therefore, for a proton moving west and enters a magnetic field. So in as much as the magnetic field the proton curves upward, we may conclude that the magnetic field must have a component towards the south.
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People do transform images. The option that describes a lossy transformation of a digital image is:
- Replace the green component of each pixel with the average value of the red and blue components of the pixel
<h3>What is transformation in image processing?</h3>
An image transform is known to be a kind of image that is converted from one domain to another kind of domain.
Digital images are known to be depicted by the red, green, and blue values (an RGB triplet) of a stated specific pixel in an image.
A lossy work is done when Creating the negative of an image by producing a new RBG triplet for each pixel in which each value is calculated by subtracting the original value from 255.
See options below
- Swap the values of the blue and green components for each pixel.
- Replace the green component of each pixel with the average value of the red and blue components of the pixel.
- Replace the values for each pixel with the values from the pixel which is 10 pixels to the right. If the pixel is less than 10 pixels from the right of the image continue counting from the left of the image when the edge is reached
- Replace each component of each pixel with the original value of that component subtracted from 255.
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