Physics-
General
Easy
Question
In the figure given below, the position-time graph of a particle of mass 0.1 Kg is shown. The impulse at
is
![](data:image/png;base64,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)
- 0.2
The correct answer is: ![negative 0.2 k g m sec to the power of negative 1 end exponent invisible function application blank](data:image/png;base64,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)
Velocity between
and ![t equals 2 s e c](data:image/png;base64,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)
Þ ![v subscript i end subscript equals fraction numerator d x over denominator d t end fraction equals fraction numerator 4 over denominator 2 end fraction equals 2 m divided by s](data:image/png;base64,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)
Velocity at t
, ![v subscript f end subscript equals 0](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACkAAAASCAYAAADG3feYAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAMyZLetQAAASxJREFUeNpjYBgcgA+IpwHxSSieCRUbVGAvEPsh8X2gYoMGhALxJCziE4A4ElkgCIiX4vChF40duQaI3bCIO0Ll4EAFiC+gKbKHpg9iwX8iMDbwDojZsIiDxF6iC34DYiYk/nEgdqFDdP/BI/cLXQDkKD0o2wOID+LRzEEnR/5AF1gITcQM0Ki3xKJJEioHSit9VIrulziimwNbdGcBcRcQBwDxbhwGgsqvZBpkHA8s4m7oGYcBmovXAfEVIDbAYeANIJamsiNBJctsLOLz0YsgEOCCpoFNOAw7iRRtrVR26H4gLgBiFmjUV+PLEx+AWAeHnDnUMFoAQSCeCw2kb9BkxUOOQZHQKBjUAFR1pQ12R66jQxVJMXhH5UKcJgn75WB2IKj+fg4tIgYEAABzu0tRsJg0MgAAAHR0RVh0TWF0aE1MADxtYXRoIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8xOTk4L01hdGgvTWF0aE1MIj48bXN1Yj48bWk+djwvbWk+PG1pPmY8L21pPjwvbXN1Yj48bW8+PTwvbW8+PG1uPjA8L21uPjwvbWF0aD51quCUAAAAAElFTkSuQmCC)
Impulse = Change in momentum ![equals m left parenthesis v subscript f end subscript minus v subscript i end subscript right parenthesis](data:image/png;base64,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)
![equals negative 0.2 k g m sec to the power of negative 1 end exponent invisible function application blank](data:image/png;base64,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)
Related Questions to study
Maths-
Which of the following graph represents x=5
Which of the following graph represents x=5
Maths-General
Maths-
A market with 3900 operating firms has the following distribution
![](data:image/png;base64,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)
If the histogram is constructed with the above data, the highest bar in the histogram would correspond to the class
A market with 3900 operating firms has the following distribution
![](data:image/png;base64,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)
If the histogram is constructed with the above data, the highest bar in the histogram would correspond to the class
Maths-General
Maths-
The median from the following data is
![](data:image/png;base64,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)
For such questions, we should know the formula to find a median
The median from the following data is
![](data:image/png;base64,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)
Maths-General
For such questions, we should know the formula to find a median
Maths-
What is the surface area of a triangular pyramid. with slant height 12 cm base area 24 cm2 and primater 36 cm
What is the surface area of a triangular pyramid. with slant height 12 cm base area 24 cm2 and primater 36 cm
Maths-General
Maths-
John scored following marks in Term 1: 45, 50, 42, 38, 40, Find his mean deviation
John scored following marks in Term 1: 45, 50, 42, 38, 40, Find his mean deviation
Maths-General
Maths-
Find MAD for first 3 multiplesof 5
Find MAD for first 3 multiplesof 5
Maths-General
Maths-
Calculate MAD for first five whole numbers
Calculate MAD for first five whole numbers
Maths-General
Maths-
Calculate MAD for first six natural numbers
Calculate MAD for first six natural numbers
Maths-General
Maths-
Find MAD for first five add numbers.
Find MAD for first five add numbers.
Maths-General
Maths-
A signal which can be green or red with probability
and
respectively, is received by station
and then transmitted to station 8 The probability of each station receiving the signal correctly is
the signal received at staTtion8 is green, then the probability that the original signal was green is
A signal which can be green or red with probability
and
respectively, is received by station
and then transmitted to station 8 The probability of each station receiving the signal correctly is
the signal received at staTtion8 is green, then the probability that the original signal was green is
Maths-General
Maths-
A frequency distribution
has arithmetic mean 7.85, then missing term is
For such questions, we need the the formula for arithmetic mean.
A frequency distribution
has arithmetic mean 7.85, then missing term is
Maths-General
For such questions, we need the the formula for arithmetic mean.
Maths-
Which of the following satisfies subtraction priority of equality.
Which of the following satisfies subtraction priority of equality.
Maths-General
Maths-
Calculate the mad for first 5 prime numbers.
Calculate the mad for first 5 prime numbers.
Maths-General
Maths-
The mean of following frequency table is 50
The missing frequencies are
The mean of following frequency table is 50
The missing frequencies are
Maths-General
Maths-
Find the least common denominator for the fractions
and ![17 over 12](data:image/png;base64,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)
Find the least common denominator for the fractions
and ![17 over 12](data:image/png;base64,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)
Maths-General