Missing some of the data points in the sample is a:
interpretation error.
data collection error.
measurement error.
sampling error.

Respuesta :

Answer:

Measurement error.

Step-by-step explanation:

Measurement Error are the error when there is difference found in true value of data and measured quantity of data. This difference could be found if we are missing some data in the sample.

The error could be reduced by carefully designing the process of data collection and it´s measurement.

Measurement error are classified into two type of error:

  1. Random error.
  2. Systematic error.