Web analysis consists of measurement and analysis of this measurement and thus builds a solid base for good decisions for websites.

Each measurement is fraught with errors. To analyze the measurement and to take rational decisions, it is important to know the possible errors.

Gross “human” errors

  • Errors of the experimenter (logic, typos, transposed digits …)
  • inappropriate methods of measurement
  • inappropriate evaluation and analysis
  • disregard of error sources

These errors are avoidable!

Systematic errors

  • Environmental influences
  • Poor ‘calibration’

These errors can not be minimized by repeating the measurement.

Statistical errors / random errors

Errors that can be minimized by repeated execution of the measurement. The error can be analyzed by error calculation.

The law of large numbers ensures that these errors are the smaller if the measurement is performed more frequently.

Web Analytics and Errors

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