Question

Difference between the information desired and the information provided
- sampling error
- measurement error
- frame error
- random error

Answer 1

Measurement Error

Explanation:

Sampling error is a measurable error that happens when an examiner doesn't choose an example that speaks to the whole populace of information and the outcomes found in the example don't speak to the outcomes that would be gotten from the whole populace.

A frame error happens when an inappropriate sub-populace is utilized to choose a sample.

Random error is constantly present in an estimation. It is brought about by characteristically flighty vacillations in the readings of an estimation device or in the experimenter's understanding of the instrumental perusing.