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Understanding Bias in Data Print

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Systematic error.

WHAT BIAS IS

A consistent distortion, rather than random error.

WHY IT IS WORSE THAN NOISE

More data does not fix it.

WHERE IT COMES FROM

Who is included and who is not How questions were asked Which records were kept Which period was chosen What you were looking for

COMMON KINDS IN BUSINESS

Analysing only current customers, and concluding customers are satisfied Surveying only those who responded Measuring only what is easy to measure Selecting the comparison that flatters

THAT FIRST ONE

Those who left are the ones with the answer.

WHAT TO ASK

Who is missing from this data? Would the missing records change the conclusion?

HOW TO REDUCE IT

Include the excluded where possible State what is not covered Look for evidence against your conclusion

THAT LAST ONE

The single most effective habit in analysis.

WHAT TO DISCLOSE

What the data does not cover.


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