News / Blog: #glossary

What is standardization (statistics)?

Standardization is a statistical process in which a given set of numbers is converted into a new set of numbers that all have the same mean and standard deviation. The newly generated set of numbers is called standardized data. It is often used to compare different sets of data or to put data into a more homogeneous format.

What is the T-Test?

The T-test is a statistical test used to determine whether the means of two groups are significantly different from each other. It is usually used to test whether a particular treatment or experiment has a significant effect on a group of people or objects. The T-test is based on the assumption that the values in both groups are normally distributed.

What is Exploratory Data Analysis?

Exploratory data analysis, also called exploratory data analytics or exploratory data mining, is a method for systematically exploring and processing data to gain new knowledge and insights. It is an iterative process that allows the researcher to form hypotheses, identify patterns and relationships, and understand how data is related and how it impacts new findings and insights.

What is the standard deviation?

The standard deviation is a measure of the dispersion of a group of values. It indicates how far the values deviate from the mean (arithmetic average) of a group. It is a quantitative indicator of the variance in a set of data.

What is a nonparametric test?

A nonparametric test is a statistical test that does not require any assumptions about the distribution of the data. They are particularly useful when you have data that is not normally distributed or when you do not have information about the distribution available. Nonparametric tests tend to be less powerful than parametric tests, but in many cases they can be used to test the same hypotheses.