**Statistical analysis**is the use of probability distributions to solve problems. The following a few statistical analysis techniques that are commonly used in business scenarios.

## Cohort Analysis

The use of behavioral analytics to study the behavior of a particular group of people, known as a cohort.## Data Dredging

Data dredging is a brute force method of data analysis that tries to match known statistical models to large sets of data. At risk of finding patterns that are meaningless noise.## Data Mining

The analysis of a large repository of data to find meaningful patterns of information. Typically starts with a hypothesis that you want to confirm with data.## Probability Distribution

A probability distribution is a function that predicts the results of a set of experiments over a large sample space.## Regression Analysis

A statistical method of investigating the relationships between variables. For example, regression analysis can be used to plot the relationship between two variables on a graph.## Statistical Model

A probability distribution constructed to support data analysis.## Statistical Population

A set of observations that share a set of properties. For example, the set of all coffee drinkers in Japan.Overview: Statistical Analysis | ||

Function | ||

Definition | The practice of applying statistics, a branch of mathematics, to solve business problems and make decisions. | |

Value | Statistics is useful for solving problems that involve probability such as forecasting. It is common for future looking calculations including risk measurements to rely on statistical models. | |

Related Techniques |