These errors occur due to chance. These errors tend to cancel to each other in long run. These errors are random. They are not the results of any prejudice or bais.
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Statistics themselves are purely factual and can not be biased or misleading. When people start making inferences and interpretations based on the statistics, that is when they can become biased or misleading.
Lies or damned lies! These would be statistics which are faulty or presented in a misleading way (deliberately or accidentally). Such statistics could arise in a number of ways:the experimental model was flawed,there were errors in measurement or recording,the sample was biased,correlation was interpreted as causation,poor graph design - scales, pictograms using improper dimensions,
compensating errors error of omission error of commission error of principles complete reversal of entries error of original entry
One limitation of statistics is that everyone doesnÕt understand them or how to use them. There is also a possibility for errors.
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.