All of the following statements describe the importance of data integrity being maintained and preserved, EXCEPT... $(0\mathrm{.}2$ marks$)$

Data that does not have integrity is like data that has not been authenticated for official use.

The decision$-$making process using data without integrity can produce misleading conclusions.

The practice of creating data whose integrity is questionable is an unethical practice.

The use of selected and non$-$random samples can produce data that lacks integrity.