How to Minimize Biases and Increase Objective Decision Making Data analysis is a

Question

How to Minimize Biases and Increase Objective Decision Making

Data analysis is about using information and knowledge to make decisions. Although it can be presumed that the data is objective, it is possible to skew results due to heuristic errors and biases.

Identify three biases that can influence the outcome of an analysis.

Explain what they are and how they arise.

Provide suggestions on how each bias can be minimized or overcome.

Write a 1,050- to 1,400-word paper, using a minimum of two peer reviewed sources.

Click the Assignment Files tab to submit your assignment.

Explanation / Answer

Data analysis and interpretation can be broadly biased in several ways, the most common among them being the following:

Selection Bias - Selection bias occurs when there is an ambiguity during data collection process. The data collection can be skewed with respect to certain data and it can lead to falty results at the end.

Confirmity Bias - These kinds of bias occurs when the person conducting the analysis would want to match his or her opinions and preconceived notions with the results of the data analysis. Such kind of bias leads to error in the results of data analysis.

Outlier - Data can always be skewed in a particular direction and therefore, these outliers may cause the results to be skewed in turn. It can be prevented with the help of proper data cleansing.

Related Questions

Navigate

• Browse (All)
• Browse H
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.