Statistics and logic are analytical tools used by political science.
Firstly, political science is not a natural science, so it bears a weaker relationship than other natural sciences. Political science draws on some of the methods (e.g.) mathematics and statistics) and philosophies (e.g.) positivism) from the natural sciences but, for the most part, relies on its own counterparts.
The relevance of political science to statistics and logic is that it helps politicians use the statistics collected to think logically about what their subjects need.
bwisit
Political science has to do with politics, other science has to do with... well... science. No real connections though. Political science has to do with politics, other science has to do with... well... science. No real connections though.
tanong mo sa nanay mo.
The statistics (pl.) indicate that statistics (sing.) is a pseudo-science.
They are both subjects
Political science incorporates research design, statistics, and polling to analyze information related to politics and government. A firm research base is needed in political science since people act unpredictably.
what is the relationship b/w political sceince and history
Statistics uses mathematics, which itself is the science of relationships between numbers. This would be my best layperson's answer. Good luck!
Political science and Chemistry are two distinct fields with little direct relationship. While political science focuses on the study of government, politics, and public policy, Chemistry is the branch of science that deals with the properties, composition, and reactions of substances. However, there may be instances where the two fields intersect, such as in environmental policy discussions concerning chemical pollution.
Statistics and computer science are closely related fields that often intersect in data analysis and machine learning. Computer science provides the tools and algorithms for processing and analyzing data, while statistics offers the theoretical framework for understanding and interpreting the results. Together, they form the foundation for many data-driven applications and research in various fields.