Question
Look at the position-time graph below. What is the kind of motion shown by section no.1 of the graph?
![](data:image/png;base64,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)
- Uniform motion
- Stationary
- Non-uniform motion
- Accelerating motion
Hint:
The slope of the position-time graph shows the velocity of the body.
The correct answer is: Uniform motion
Uniform motion is the kind of motion shown in section no.1 of the graph.
In section 1 the body is covering the equal distance in equal interval of time.
Related Questions to study
What does the steepness of a position-time graph indicate?
What does the steepness of a position-time graph indicate?
What is the correct relation between the acceleration of A and B?
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)
What is the correct relation between the acceleration of A and B?
![](data:image/png;base64,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)
The steepness of a velocity-time graph indicates the ___ of a moving body.
The steepness of a velocity-time graph indicates the ___ of a moving body.
The ___ the velocity-time graph, the greater the ___ of a moving body.
The ___ the velocity-time graph, the greater the ___ of a moving body.
The position-time graph of a body at rest is a ___.
The position-time graph of a body at rest is a ___.
The steepness of the position-time graph represents the ___.
The steepness of the position-time graph represents the ___.
In a position-time graph, the ___ of an object is plotted against ___.
In a position-time graph, the ___ of an object is plotted against ___.
A body moving at 2 m/s uniformly increases its velocity by 5 m/s every second. Its velocity after 30 s becomes ___ m/s.
A body moving at 2 m/s uniformly increases its velocity by 5 m/s every second. Its velocity after 30 s becomes ___ m/s.
A ball is dropped from the top of the building reaches a speed of ___ m/s after 10 s.
A ball is dropped from the top of the building reaches a speed of ___ m/s after 10 s.
The value of acceleration due to gravity is ____ m/s2.
The value 9.8ms-2 for acceleration due to gravity implies that for a freely falling body the velocity changes by 9.8ms-1 every second.
The value of acceleration due to gravity is ____ m/s2.
The value 9.8ms-2 for acceleration due to gravity implies that for a freely falling body the velocity changes by 9.8ms-1 every second.
Naas notes the speedometer readings of his friend’s car the moment he started applying brakes until the car stopped. Later, he calculated the acceleration of the car and found it out to be ___.
Negative acceleration is also known as deceleration.
Naas notes the speedometer readings of his friend’s car the moment he started applying brakes until the car stopped. Later, he calculated the acceleration of the car and found it out to be ___.
Negative acceleration is also known as deceleration.
A car moving at a velocity of 76 m/s decreases its velocity uniformly to 6 m/s in 10 s. Work out its acceleration with a proper sign.
Negative acceleration is also known as deceleration.
A car moving at a velocity of 76 m/s decreases its velocity uniformly to 6 m/s in 10 s. Work out its acceleration with a proper sign.
Negative acceleration is also known as deceleration.
A car moving at a velocity of 5 m/s increases its velocity uniformly to 50 m/s in 10 s. Work out its acceleration with a proper sign.
When there is a speeding of an object the the acceleration will be positive.
A car moving at a velocity of 5 m/s increases its velocity uniformly to 50 m/s in 10 s. Work out its acceleration with a proper sign.
When there is a speeding of an object the the acceleration will be positive.
Which of the following is/are true about the attributes of a uniform circular motion?
a. The velocity points in a tangential direction at every point of motion.
b. The speed changes throughout the motion of the body.
c. The acceleration being perpendicular to the velocity points towards the center.
Which of the following is/are true about the attributes of a uniform circular motion?
a. The velocity points in a tangential direction at every point of motion.
b. The speed changes throughout the motion of the body.
c. The acceleration being perpendicular to the velocity points towards the center.
Pick the odd one out.
Acceleration is rate of change of velocity.
Pick the odd one out.
Acceleration is rate of change of velocity.