Please JUSTIFY or Agree/Disagree with the writer or Answer the Following in half page (SHORT NOTE). And please do mention if you are Justifying,Agreeing,Disagreeing or Answering the Following. Thanks

The note should have intext citations. For example, anything with numbers or quotes per paragraph. The intent citation just needs to be the Author's last name and year it was published. Please also include REFERENCES. Thanks

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Errors that can be seen and measured are known as observation errors. These metrics were developed to track the discrepancy between measured and real values. These mistakes could be accidental or planned.

By optimizing the procedures, errors measures assist in observing and optimizing the error. The errors are predicted using a variety of techniques, including exponential smoothing and moving averages. In order to generate weighted moving averages, past data is given less weight than current statistics. By multiplying each price by the weighting factor, it is shown. In the exponential smoothing method, future forecasting is predicted using the smoothing constant.

Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., Cochran, J. L., Fry, M. J., & Ohlmann, J. W. (2016). Quantitative methods for business with CengageNOW (13th ed.). Boston, MA: Cengage Learning. ISBN-13: 9781305799257.