Statistical testing and its types with R programming.pptx

Includes Statistical Testings and testing means

1. Unit-III

2. Statistical Modelling Statistical modeling is an elaborate method of generating sample data and making real-world predictions using numerous statistical models and explicit assumptions. It involves a mathematical relationship exists between random and non-random variables.

3. There are two categories of statistical modeling Methods: 1. Supervised Learning: T he machine is trained on a set of labeled data, which means that the input data is paired with the desired output. The machine then learns to predict the output for new input data. Supervised learning is often used for tasks such as classification, regression, and object detection.

4. 2. Unsupervised Learning:   The machine is trained on a set of unlabeled data, which means that the input data is not paired with the desired output. The machine then learns to find patterns and relationships in the data . Unsupervised learning is often used for tasks such as  clustering, dimensionality reduction, and anomaly detection.

5. Statistical Testing : Statistical tests are a way of mathematically determining whether two sets of data are significantly different from each other.