Statistical analysis

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Statistical Analysis

Statistical analysis (pronunciation: /stəˈtɪstɪkəl əˈnælɪsɪs/) is a branch of mathematics dealing with the collection, interpretation, presentation, and organization of data.

Etymology

The term "statistical analysis" is derived from the English word "statistics", which comes from the New Latin word statisticum collegium (council of state) and the Italian word statista (statesman or politician). The term "analysis" comes from the Greek word "analusis" which means "a breaking up" or "an unloosing."

Related Terms

  • Descriptive Statistics: This is a method used to describe the basic features of the data in a study. It provides simple summaries about the sample and the measures.
  • Inferential Statistics: This is a method used to make inferences or predictions about a population based on data from a sample.
  • Regression Analysis: This is a statistical process for estimating the relationships among variables.
  • Correlation: This is a statistical technique that can show whether and how strongly pairs of variables are related.
  • Variance: This is a statistical measurement of the spread between numbers in a data set.
  • Standard Deviation: This is a measure of the amount of variation or dispersion of a set of values.
  • Probability: This is a branch of mathematics that deals with calculating the likelihood of a given event's occurrence.
  • Hypothesis Testing: This is a statistical method that is used in making statistical decisions using experimental data.
  • Data Mining: This is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
  • Machine Learning: This is a method of data analysis that automates analytical model building.

See Also

External links

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