Independent and Dependent Variables in Term Paper

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If the numbers or the data will not be constant, the results will not be paralleled and will surely have discrepancy on its accuracy.

Meanwhile, experimenter bias is a big threat to the accuracy and/or precision of the report's result. An example of the threat is not being able to identify all the factors that might affect the result.

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An experiment can be said biased if he/she has already an expected outcome in the end, hence, he/she will just focus on that outcome and what will provide such outcome. In turn, all other factors may be already neglected and will not be taken into consideration.

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