Tuesday, December 11, 2012

Buggy Post Lab Discussion

21 comments:

  1. Is there a way to scrap the data that was cause by the buggy not driving straight without scrapping the good data? That would be useful.

    -Thomas Black

    ReplyDelete
    Replies
    1. with experiments you need to include the bad data along with the good data. Just mention in the analysis or in the conclusion what you think caused the data to be bad.
      (ignore this if Crane tells you otherwise)

      Delete
    2. Don't forget what happened when people ignored bad data on a railroad track; all data needs to be looked at.
      -Kevin Meglathery

      Delete
  2. The data caused by the buggy not driving would bring in the percent error so you can compare your measurements according to the non-straight path of the buggy. Any information is important information when using it for labs.

    ReplyDelete
  3. Dont we always just include the fact that the buggy didn't drive straights in our precent error? It would effect the slope because it would have travelled a different distance resulting in a higher precent error. However, since you at least know what caused your higher precent error, it would be easier to explain than it usually is. Most labs have room for error and this was one of those labs!
    Mimi McCabe

    ReplyDelete
    Replies
    1. Well, yeah. That is the point in the conclusions part of the lab. Just say what gave you incorrect data, how that happened, and what you could do in the future to prevent that marginal error.

      Pretty much just reformat what you just posted in your comment into pedantic-objective scientific diction and you're halfway there.

      Delete
  4. How would we know what the actual slope was for percent error in the first place? With buggies, they are electrical cars, which have so many variables for each car. One car definitely didn't go the exact same speed as any other. The variables include batteries, wheel balance, motor, weight of the car, surface the car was driving on, how straight the car went, and possible errors in the motion detector. How would we figure out the percent error with all of these variables?

    ReplyDelete
    Replies
    1. There might be a different percent error calculation for each combination of those variables. Meaning that the calculation for a two battery car that drove straight would be different from a car with one battery that drove straight or a two battery car that curved.

      Kevin Meglathery

      Delete
    2. That is why we can have anything under a 10% error and the slope will still be correct. Our slope does not need to be exact, but has to be close.

      -Molly Lawlor

      Delete
    3. Percent error is just the calculation of how far off you were from the accepted value. The factors that you mentioned (batteries, wheel balance, motor, weight of the car, surface the car was driving on, how straight the car went, and possible errors in the motion detector) should be written and explained on how they may have interfered with your experiment in your lab write up. As long as you do that, a perecent error of 10 or less won't matter.

      Delete
    4. After calculating percent error, make sure to explain what might of caused your data to be different than what you predicted, especially if it is above 10% error. Like Adil said, mention the different variables because they are all possible things that may have impacted your data.

      Delete
    5. Agreed. Take the best trial and use that for the calculations... but also include trials that weren't so accurate and explain them & what went "wrong" in the lab. This way, your % error will be less that 10% and you'll be able to account for any discrepancies.

      Delete
  5. i agree ^^^^^ the point of the lab is to prove the theoretical idea behind whatever your doing (ie an equation). that is why 10% is accepted because anything below that would be considered some sort of human error or a variable that cant be controlled.

    ReplyDelete
  6. Are we supposed to write down each slope for the 3 graphs for the Buggy Lab Part 1? Also, what would be the actual variable when you use the percent error formula for the Buggy Lab?

    ReplyDelete
    Replies
    1. Percent Error= (Received-True)/True x 100

      Delete
    2. I already know the formula, I was wondering what the true part of the equation would be from the lab. Thanks anyway, though!

      Delete
    3. I do not know the lab exactly but the value in general would be what was not calculated (to my knowledge) not the value that you had found by plugging in the numbers. Since I have not seen the lab, I do not know the value but it should be from the graph of some sort. The theoretical would be what you calculated and thought should be the answer. Also for the slopes, you should write down all of the slopes because the more information you have is the better. Even if they might not be the most important, always include any information you found.

      Delete
  7. Does anyone know how we are going to prove the equation for acceleration in this lab? It is the one after the buggy lab, or continuation I guess. I know that the whole point of the wind-up toy cars is to show the increased rate of speed, but I am just too impatient to wait for school to start back up. I also know that the main key in proving it is the use of different slopes in the same graph. Can anyone explain how the slopes transition into an acceleration?

    ~John DiNofrio

    ReplyDelete
    Replies
    1. I am assuming that for the equation of acceleration, we will not be using the standard y = mx + b equation, but something different for parabolas, maybe a quadratic equation or something similar. The slope is constantly changing, so the acceleration is constantly changing, so we will need a different equation to properly write out what our data shows.

      Delete
  8. For this lab especially, how are we going to prove percent error? We have no control for the experiment, so how are we going to know how much we were wrong? This lab, with the wind up toy has even more error possibilities, so how could we possibly see how one car can be absolutely perfect enough to base our percent error off of?

    ReplyDelete

Tweets by @Physicsmainland