Linearizing Data: Velocity vs Time vs Distance-Time Squared

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In summary, the goal of the lab was to find gravity, and the equation used to find gravity was d-v-a-t (distance=velocity*time+0.5*acceleartion*time-squared).
  • #1
Younglearner
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Homework Statement


Why did we choose to linearize our data by plotting velocity versus time rather than by distance versus time-squared. Use d-v-a-t (distance=velocity*time+0.5*acceleartion*time-squared) equations to present a convincing answer.


Homework Equations


1. d=vt+1/2at^2
2. (v2)=(v1)+at
3. (v2)^2-(v1)^2=2ad
4. d=1/2(v1+v2)*t
V1 is initial velocity
v2 is final velocity
t is time
a is acceleration
d is distance


The Attempt at a Solution


I must say that I am perplexed since they are essential the same graphic shape and equivalent slopes (which equals accleration if you take derivative). I guess that it could have something to do with my 3rd equation above.What has got me is that v vs. t and d vs. t^2 are both linear graphs! Is it because acceleration is defined as the change in velocity divided by the change in time and not change in distance divided by change in time squared. But that doesn't use a d-v-a-t equation. Help please.
Thanks in advance for your time and thoughts.
 
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  • #2
Can you give some more background on the question?

"Why did we choose to linearize our data by plotting velocity versus time rather than by distance versus time-squared."

This question makes no sense to me unless I know what the goal of the experiment was, or what you're trying to obtain...
 
  • #3
Alright, this is a physics lab in which the motion of a glider on an airtrack is being used to calculate gravity. The lab asks us to find gravity in two ways: one-algebraically by using the fact that (v2)^2-(v1)^2=2ad and a=g sin theta where theta is the angle of the airtrack with the ground. I did the graphs and the algebra and got an algebraic g of 945 and a graphic g of 825 (yes, there is some error in this, but the teacher actually admitted to introducing error into the lab=the sparker we used ass a timing interval was broken. Maybe she is checking for honesty in our first lab?). Anyway one of the lab asks me to find g by graphing v versus t and then asks why I did not graph d versus t^2
 
  • #4
could it be that rearranging the equation (v1)=(v2)+at yields a = delta v/t
while rearranging d=(v1)t + 0.5at^2 d/t^2= (v1)/t^2 + 0.5a
 
  • #5
Younglearner said:
could it be that rearranging the equation (v1)=(v2)+at yields a = delta v/t
while rearranging d=(v1)t + 0.5at^2 d/t^2= (v1)/t^2 + 0.5a

you mean d/t^2 = v1/t + 0.5a

Yes, the graph of d vs. t^2 will not be linear unless v1 = 0.

Suppose you want to plot d vs. t^2... so let s = t^2

[tex]d = v1*\sqrt{s} + 0.5s[/tex]

So you can see that this is not the equation of a line unless v1 is 0. And when it equals 0... the slope of the graph is 0.5a... so you have to multiply the slope by 2 to get the acceleration...
 

FAQ: Linearizing Data: Velocity vs Time vs Distance-Time Squared

What is linearizing data?

Linearizing data is the process of transforming a non-linear data set into a linear one by applying a mathematical transformation. This allows for easier analysis and interpretation of the data.

Why is it important to linearize data?

Linearizing data is important because it helps to identify relationships between variables and make predictions. It also makes it easier to apply statistical methods and calculate parameters such as slope and intercept.

What is the difference between velocity vs time and distance-time squared graphs?

A velocity vs time graph shows the relationship between an object's velocity and time, while a distance-time squared graph shows the relationship between an object's distance and the square of time. The latter is often used to linearize data related to accelerated motion.

How do you linearize data using velocity vs time and distance-time squared graphs?

To linearize data using these two graphs, you can take the square root of the y-axis values in the distance-time squared graph, and plot them on the y-axis of the velocity vs time graph. This will transform the curved data into a straight line.

What is the significance of linearizing data in scientific research?

Linearizing data is significant in scientific research as it allows for easier interpretation and analysis of complex data sets. It also helps to identify patterns and trends in the data, which can lead to a better understanding of the underlying phenomenon being studied.

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