Blog GLOSSARY

What is ANOVA F-test?

Anova F-test in a one-way analysis of variance is used to assess whether the expected values of a quantitative variable within several pre-defined groups differ from each other. For example, suppose that a medical trial compares four treatments. The ANOVA F-test can be used to assess whether any of the treatments is on average superior, …

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Blog GLOSSARY

What is ANOVA – Analysis of variance?

ANOVA -Analysis of variance is a form of statistical hypothesis testing used in the analysis of experimental data. A test result is called statistically significant if it is deemed unlikely to have occurred by chance, assuming the truth of the null hypothesis. A statistically significant result, when a probability (p-value) is less than a threshold …

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Blog GLOSSARY

What is ANCOVA – Analysis of covariance?

ANCOVA (Analysis of covariance) is a general linear model which blends ANOVA and regression. ANCOVA evaluates whether population means of a dependent variable (DV) are equal across levels of a categorical independent variable (IV) often called a treatment, while statistically controlling for the effects of other continuous variables that are not of primary interest, known …

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Blog GLOSSARY

What is Alternative Hypothesis (H1)?

Alternative Hypothesis (H1) is a way of referring to the alternative hypothesis in a scientific experiment or business process improvement initiative. While the null hypothesis (H0) in any experiment or research project is that the connection or conclusion suggested by the experiment is false, the alternative hypothesis (H1) is always the assertion that there is …

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Blog GLOSSARY

What is A/B Testing

A/B Testing (also known as split testing or bucket testing) is a method of comparing two versions of a web page or app against each other to determine which one performs better. AB testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis …

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Machine Learning Definition.

Machine learning is a subfield of science, that provides computers with the ability to learn without being explicitly programmed.   The goal of machine learning is to develop learning algorithms, that do the learning automatically without human intervention or assistance, just by being exposed to new data. The machine learning paradigm can be viewed as “programming …

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