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6 answers

make up data to replace it

2006-10-09 12:46:42 · answer #1 · answered by buccinator 3 · 0 1

When anomalous data might possibly be the result of experimenter's measurement error, a common convention is to exclude the data that fall more than 3 standard deviations from the mean.

First, you curvefit all the data. Second, you determine the standard deviations for all data. Third, you eliminate the data further from the curve than you like (e.g. 3 sigma). Fourth, you recalculate the curvefit without the eliminated data.

Don't ever make up data. If you do it and get caught, your rivals or political adversaries will bring up your dishonesty again and again and again to discredit you, and you'll never get away from the bad reputation. A scientist who cheats up phony data is somewhat like a pedophile priest.

2006-10-09 12:53:24 · answer #2 · answered by David S 5 · 2 0

If you have peices of data that do not fit the trend of the graph/data to a great extent (irroneous data points). You may exclude these points from the other information on the basis of error. For example if you were doing a free-fall experiment for physics, if you get a negative acceleration or very small/large acceleration value you would exclude the data (as logically the situation could not occur)(ie. you couldn't get an acceleration of 18 m/s2)

DO NOT BE BIASED AND MAKE UP DATA!!!

2006-10-09 12:48:59 · answer #3 · answered by Tyler D 2 · 0 0

throw out all anomalous data.

what is that ... its the 10 percent of your data with the highest and lowest values.

Note: Dont do this if you are a drug company ... instead claim you found a new cure for "make up a disease name goes here" that works for 10 percent of the patients.

2006-10-09 12:55:06 · answer #4 · answered by Anonymous · 0 0

1. Do the experiment over to check your results
2. Define and remove impossible data
3. In Excel, set a trend line, then remove the data points
4. E-mail me

2006-10-09 12:53:11 · answer #5 · answered by Ralph 5 · 0 0

The concentration replace into incorrect. additionally if the equipment replace into defective and the outcomes have been study incorrectly. relies upon what the test replace into of and what components impact the consequence. In some experiments it may be the quantity of light and the temperature of the water or room. wish this helps. x

2016-12-08 11:47:15 · answer #6 · answered by goslin 4 · 0 0

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