12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Multivariate analysis is a method of statistical analysis that examines multiple variables simultaneously to identify relationships. It is commonly used in the fields of economics, psychology, sociology, and other social sciences to examine complex relationships among multiple variables. Multivariate analysis allows scientists, businesses, and organizations to identify patterns and influences that help them understand and predict behaviors and trends.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
The Anova test is a statistical procedure used to examine differences between two or more groups. It is often used in research to determine whether mean values differ significantly between two or more groups. The Anova test can also be used as part of a larger design to examine the influence of factors on a particular variable.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A significant relationship is a statistically measurable relationship between two or more variables, the result of which is statistically significant. This means that the relationship between the variables is more than just coincidental and that it really exists. A significant relationship means that a change in one variable is associated with a change in the other variable.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A hypothesis test is a statistical test used to determine whether a particular hypothesis is true or false. It is a procedure for testing hypotheses to see whether or not they can be supported by data. Usually, hypothesis tests are used to determine the probability that a certain outcome will occur.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
The population is the set of all objects about which information is collected in a particular survey. It is the basis for creating a statistical survey and can consist of people, things, events or other elements.