T-test
Definition of T-test
T-test: A T-test is a type of statistic that is used to compare two groups of data. It can be used to determine whether the means of the two groups are statistically different from each other.
Similar Posts
Standardized Score
ByDavis
Definition of Standardized Score A standardized score is a score that has been adjusted to account for the distribution of scores in the data set. This adjustment allows comparisons of scores from different data sets.
HDFS
ByDavis
Definition of HDFS HDFS: HDFS (Hadoop Distributed File System) is a distributed file system that enables high throughput access to data across large clusters of commodity servers. HDFS is designed to scale to support very large data sets up to petabytes in size. What is a HDFS used for? HDFS, or Hadoop Distributed File System,…
Universality
ByDavis
Definition of Universality Universality: Universality is the property of being applicable to a class of objects or phenomena. In data science, this means that a model or algorithm can be used to solve a problem for a wide range of data sets. This makes universality an important property for any data science toolkit.
Data Engineer
ByDavis
Definition of Data Engineer Data Engineer: A data engineer is a professional who creates and maintains the data pipelines that allow a company to make use of data science. Data engineers are responsible for ensuring that data is correctly collected, cleansed, and organized, so that it can be used by data scientists to glean insights…
Categorical Variable
ByDavis
A categorical variable is a data type that represents qualitative information. For example, colors (red, blue, green), genders (male, female), and religions (Catholic, Protestant, Muslim) are all categorical…