Statistical Methods
Statistical methods refer to a collection of mathematical techniques and models used to analyze and interpret data. These methods are used to identify patterns, relationships, and trends in data, and to make predictions and decisions based on the results. Statistical methods are widely used in data science and artificial intelligence to extract insights from large and complex datasets. They include techniques such as hypothesis testing, regression analysis, clustering, and classification. Statistical methods are used to model and analyze data in a variety of fields, including finance, healthcare, marketing, and social sciences. They are also used in machine learning algorithms to train models and make predictions based on data. The use of statistical methods is essential in ensuring that data-driven decisions are accurate and reliable.
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- Linear Relationship: Linear relationship refers to a statistical relationship between two variables in which the change in one variable is associated with a proportional change in the other variable. In other words, as one variable increases or decreases, the o ... Read More >>
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