Objectivity is the primary ethical principle in statistics, requiring statisticians to present data and findings without bias or personal opinions.

Confidentiality is the ethical principle that ensures the privacy of individuals participating in statistical studies, protecting their personal information from unauthorized disclosure.

Statisticians have an ethical responsibility to present findings accurately and without bias, avoiding selective reporting or manipulation of data.

Transparency is the ethical principle that requires statisticians to disclose all relevant information about their methods and data sources, allowing others to evaluate the validity and reliability of their findings.

Statisticians have an ethical obligation to carefully assess the risks and benefits before releasing sensitive or potentially harmful data, considering the potential impact on individuals and society.

Independence is the ethical principle that requires statisticians to avoid conflicts of interest, ensuring that their findings are not influenced by personal or financial considerations.

Statisticians have an ethical responsibility to present statistical findings in a clear and accessible manner, avoiding technical jargon and ensuring that the public can understand and interpret the results.

Respect for Persons is the ethical principle that requires statisticians to respect the rights and dignity of individuals participating in statistical studies, ensuring that they are treated with respect and that their privacy is protected.

Statisticians have an ethical obligation to carefully assess the ethical issues associated with data that may have been collected unethically, consider alternative sources of data, and weigh the potential benefits of using the data against the potential harms.

Fairness is the ethical principle that requires statisticians to avoid discrimination and bias in statistical analyses, ensuring that all individuals are treated equally and that their rights are protected.

Statisticians have an ethical responsibility to carefully assess data for errors and inconsistencies, take appropriate steps to address them, and document any limitations or uncertainties in the data.

Social Responsibility is the ethical principle that requires statisticians to consider the potential impact of their findings on society, ensuring that their work is used for the benefit of society and not to cause harm.

Statisticians have an ethical obligation to carefully assess the potential risks and benefits of using data that may be used for harmful purposes, take appropriate steps to mitigate the risks, and consider alternative sources of data or methods.

Data Security is the ethical principle that requires statisticians to maintain the integrity and security of statistical data, protecting it from unauthorized access, modification, or destruction.