Why Take Averages in Experiments?
Date: 05/04/2003 at 23:15:58 From: Sara Subject: Independent and dependent variables I have to do a project using a toy car and a ramp. I have to measure the time it takes from when I release the car until it reaches the bottom of the (at least 6-foot) ramp. Time=dependent variable. I must repeat the step at three other specified heights and determine the average of the dependent variable at each height. How do I set this up?
Date: 05/05/2003 at 06:13:56 From: Doctor Luis Subject: Re: Independent and dependent variables Hi Sara, What they want you to do is release the car several times for each height, and measure the times it takes to go from the top of the ramp to the bottom. The reason you want to repeat the experiment several times at each height is to ensure that you get a good value for the actual time it takes to come down. Whenever you take repeated measurements in an experiment, you'll find that your measurements will vary slightly. Many of these variations (errors) will be random, so you'll have no control over them. For example, the ramp could be slightly bumpy, so your car could slow down in some places, which would lead you to a higher time than you would actually get for a perfectly smooth ramp. You can't really prevent this kind of random error (we don't live in a perfect world with perfectly smooth frictionless ramps). These errors are called experimental errors. Other errors will come from your technique in doing the experiment, so you must try to make these errors as small as possible. For example, if you're timing using your wristwatch your reaction time will contribute to the error in your measurement of time. Also, when you release the car you might inadvertantly give it a push that, however slight, will speed up your car by a bit and will lead you to a lower measurement. Or maybe you don't always release the car from the same spot, which will give the car a small head start in the race down, leading to a slightly lower measurement. These errors in technique are preventable, so you should try your hardest to make them as small as possible. These errors are called systematic errors. So, given that errors will always happen, even if you try to repeat the exact same experiment under the exact same conditions (or as close as possible), what can you do? You take averages. You repeat your experiment lots of times until you reach a satisfactory value of your measurement. You see, if systematic errors are zero (or very close to zero), the only way you can get rid of experimental errors is by using statistical averages. This works because experimental errors are truly random, so even though they'll affect individual measurements you take, they won't affect the average of those measurements. (The average value of those random errors is zero.) So, with your height as the independent variable, draw a table like the following: height (cm) | times (sec) | average time (sec) -------------|--------------------------------|------------ 10 | 100.0, 101.0, 99.8, 101, 101 | 105.6 20 | 73.2, 73.1, 73.2, 73.2, 73.2 | 73.18 30 | 61.5, 61.5, 61.4, 61.7, 61.4 | 61.5 ... | .... ... | .... To calculate the averages, just sum the measurements and divide by the number of measurements. For example, for the height 10cm, the average time is (100 + 101 + 99.8 + 101 + 101)sec/5 = 105.6 sec Notice how for each value of the independent variable (height), I made five measurements of the dependent variable (time). You can take more measurements than that, or fewer. I think five is a good number, but you'll have to pick some number with which you feel comfortable. As a final note, I made up the numbers in the table above. Your numbers should look similar but much smaller (I assumed a very long ramp). In general, the lower the height, the longer the car will take, and the greater the height, the faster it should accelerate down the ramp. I don't know the length of the ramp you'll be using or the mass of your toy car, so you'll have to take your own measurements. I hope this helps you get started. Thanks for your question, and let us know if you have any more problems. - Doctor Luis, The Math Forum http://mathforum.org/dr.math/
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