By negatively influencing data collection, <u>bias</u> can have a detrimental effect on analysis.
In statistical analysis, bias occurs when the data collected is not a true representation of the group under study. Bias occurs due to various mistakes or errors that occur at the time of data collection and sampling.
If a particular data is negatively influenced, then this means that there will be a bias in the expected results. Such a case can be highly detrimental especially if the studies would be implemented for a human issue.
The bias produced by a negative influence will cause errors in the analysis of the data leading to an overall wrong result.
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