Using Min and Max slope method to determine uncertainties

In summary, the conversation discusses a homework problem involving determining the equation of a line of best fit for a graph showing potential (V) and current (I) in an electrical circuit. The max and min slope method is used to determine the equation, which must include uncertainties. The conversation also touches on the concept of Ohm's law and the potential for systematic error in experimental values. However, the question does not provide uncertainties for the current and voltage, so the best solution is to draw a line of best fit and two lines of worst fit that seem reasonable.
  • #1
hibachii
17
0

Homework Statement


The graph below shows the potential (V) applied to, and the current I(mA) drawn by, an electrical circuit. Use the max and min slope method to determine the:
a) equation of line of best fit of the graph below (answer must be and equation relating to V and I). Your answers must include uncertainties
b)equivalent resistance of the circuit and the uncertainty in this resistance.


Homework Equations


V=IR


The Attempt at a Solution


I have no idea on how to tackle this question. We are given this much info on the question and left to do it by ourselves. PLease help!
 
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  • #2
Well you know Ohm's law, which is just V=IR

a graph of V on the vertical vs I on the horizontal will give R as the gradient yeah?
It's like V=IR is in the form of a straight line y=mx+b, where y is the V and the x is the I. Hence the gradient m represents R in this case.
the y intercept b is zero in ohm's law V=IR because it's assumed that when V=0, I =0.
However you might have a systematic error and hence in experimental values your line of best fit most often will not pass exactly through (0,0). Please please NEVER force a line of best fit through the origin.

Anyway, max and min slope. Did they give you the uncertainties for the current and voltage? Only with them can you graph the lines of best and worst fit
 
  • #3
no they did not. they told us to work it out using max and min slope method. The only thing close to working out uncertainty is that current is measured in mA.
 
  • #4
lmao that's slightly dodgy =P
the fact that it's measured in milliamps doesn't really help with the uncertainty because it still doesn't tell you the limit of reading

in that case i think you should just like try and draw the line of best fit, then two lines of worst fit that kind of look reasonable? =S (like not too wildly off)
dodgy question =(
what do other physics forumists think? =D
 
  • #5


I can provide a response to this question by breaking down the steps for using the min and max slope method to determine uncertainties.

Step 1: Plot the data points on a graph with V (potential) on the x-axis and I (current) on the y-axis.

Step 2: Determine the maximum and minimum slope of the line of best fit by drawing two lines through the data points that have the steepest and shallowest slopes, respectively.

Step 3: Calculate the uncertainty in the slope by subtracting the minimum slope from the maximum slope. This will give you the range of possible slopes for the line of best fit.

Step 4: Use the equation V=IR to determine the equation of the line of best fit. The slope of the line will be the resistance (R) of the circuit.

Step 5: Calculate the uncertainty in the resistance by multiplying the uncertainty in the slope by the maximum value of V in the data points.

Step 6: The equivalent resistance of the circuit will be the average of the maximum and minimum resistance values, with the uncertainty being half of the range between the two values.

In summary, the equation of the line of best fit will be V=IR, with the resistance (R) being the slope of the line. The uncertainty in this resistance can be determined by using the min and max slope method and taking into account the range of possible slopes. The equivalent resistance of the circuit can be calculated by taking the average of the maximum and minimum resistance values, with the uncertainty being half of the range between the two values.
 

FAQ: Using Min and Max slope method to determine uncertainties

1. What is the Min and Max slope method?

The Min and Max slope method is a statistical technique used to estimate the uncertainties in a data set. It involves calculating the minimum and maximum slopes of a line that connects the data points, and using these values to determine the range of possible values for the uncertainties.

2. Why is the Min and Max slope method used?

The Min and Max slope method is used because it provides a simple and straightforward way to estimate uncertainties in a data set. It is especially useful when there is limited information available about the data or when the data is not normally distributed.

3. How do you determine the uncertainties using the Min and Max slope method?

To determine the uncertainties using the Min and Max slope method, you first calculate the slopes of all possible lines that connect the data points. Then, you select the minimum and maximum slopes and use them to determine the range of possible values for the uncertainties.

4. What are the limitations of the Min and Max slope method?

One limitation of the Min and Max slope method is that it only provides an estimate of the uncertainties and does not give an exact value. Additionally, it assumes that the data points are linearly related, which may not always be the case.

5. Are there any alternatives to the Min and Max slope method?

Yes, there are other methods for determining uncertainties, such as the standard deviation method and the bootstrap method. These methods may be more accurate, but they also require more information about the data and may be more complex to calculate.

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