# Statistical Analysis

Statistical analysis refers to investigating trends, relationships, and patterns using quantitative data. It is quite an important research tool used by governments, businesses, and other organizations.

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Statistical analysis is a method of using numbers to try to remove any biases that may have occurred when reviewing information. It can also be thought of as a tool that can be used for informed decision-making. This examines every single data sample within a population, which is also the set of items from which samples can be drawn, instead of a cross-sectional representation of samples than less sophisticated methods do. They point to specific ways in which it is completed. There are chiefly five steps taken during the process, which include:

• Describing the nature of the data that is to be analyzed.
• Exploring the relation of the data to the underlying population.
• Creating a model for summarizing the understanding of how the acquired data relates to the underlying population.
• Proving or disproving the validity of the model.
• Employing predictive analytics for the anticipation of future trends.

Statistical analysis is used a lot in science, from physics to social sciences. Other than testing hypotheses, it can also provide an approximation for an unknown difficult or impossible to measure. For example, the realm of quantum field theory, while offering success in the theoretical side of things, has also been proven challenging for empirical experimentation and measurement. Some social science topics, such as the study of consciousness or choice, are also practically impossible to measure. Statistical analysis will be able to shed some light on what would be the most or least likely scenario.