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What is representativeness?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Representativeness refers to the ability of a sample to represent a larger population. A representative sample is a group of individuals that reflects a larger group as closely as possible. This sample is composed so that it has the same distribution of characteristics as the group to which it refers. Representativeness is an essential element of research because a representative sample can provide detailed insight into the group.
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What is Exploratory Data Analysis?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
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.
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What is Anova Test?

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.
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What is a random sample?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A sample is a subset of a larger group selected to collect specific information. It is used to collect representative information about the entire group without checking each individual. A sample allows researchers to quickly and efficiently gather information about a large group of people or things.
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What is inferential statistics?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Inferential statistics is an analytical procedure used to answer questions related to a population. It is used to draw conclusions about a population based on a sample. It is a form of inductive statistics in which a sample is applied to a population to make generalizations about the population. Inferential statistical techniques are commonly used in research and decision making.
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