D204 - chapter 4

Application:

Apply the relevant rules to the facts that created the issue.

IRAC stands for:

Issue Rule: Application: Conclusion:

Issue:

State the legal issue(s) to be discussed.

Conclusion:

State the most likely conclusions using the logic of the application section and whether there has been a violation.

Rule:

State the relevant statutes and case law.

The ethical statistician protects

and respects the rights and interests of human and animal subjects at all stages of their involvement in a project. This includes respondents to the census or to surveys, those whose data are contained in administrative records, and subjects of physically or psychologically invasive research.

Those employing any person to analyze data

are implicitly relying on the profession's reputation for objectivity. However, this creates an obligation on the part of the employer to understand and respect statisticians' obligation of objectivity.

Science and statistical practice

are often conducted in teams made up of professionals with different professional standards. The statistician must know how to work ethically in this environment.

The ethical statistician is

candid about any known or suspected limitations, defects, or biases in the data that may affect the integrity or reliability of the statistical analysis. Objective and valid interpretation of the results requires that the underlying analysis recognizes and acknowledges the degree of reliability and integrity of the data.

General Data Protection Regulation (GDPR) in the European Union

companies in the technology industry will lead the charge towards similar privacy legislation in the United States.

What term is defined as doing the right thing with data?

data ethics

What term is defined as responsibly collecting, using, and storing data about people?

data privacy

Data ethics

is doing the right thing with data, considering the human impact from all sides, and making decisions based on your brand values

Data privacy

is responsibly collecting, using and storing data about people, in line with the expectations of those people, your customers, regulations and laws. Data ethics is doing the right thing with data, considering the human impact from all sides, and making decisions based on your brand values.

Data privacy

is responsibly collecting, using, and storing data about people, in line with the expectations of those people, your customers, regulations and laws

The ethical statistician does not

knowingly accept work for which he/she is not sufficiently qualified, is honest with the client about any limitation of expertise and consults other statisticians when necessary or in doubt. It is essential that statisticians treat others with respect.

The ethical statistician uses

methodology and data that are relevant and appropriate; without favoritism or prejudice; and in a manner intended to produce valid, interpretable, and reproducible results.

The practice of statistics

requires consideration of the entire range of possible explanations for observed phenomena, and distinct observers drawing on their own unique sets of experiences can arrive at different and potentially diverging judgments about the plausibility of different explanations. Even in adversarial settings, discourse tends to be most successful when statisticians treat one another with mutual respect and focus on scientific principles, methodology, and the substance of data interpretations.

The ethical guidelines provided by

the American Statistical Association

The ethical statistician understands

the differences between questionable statistical, scientific, or professional practices and practices that constitute misconduct. The ethical statistician avoids all the above and knows how each should be handled.

The ethical statistician supports

valid inferences, transparency, and good science in general, keeping the interests of the public, funder, client, or customer in mind (as well as professional colleagues, patients, the public, and the scientific community).