Data can also be classified as parametric or non-parametric, depending on the assumptions made about the data’s distribution. Parametric tests assume the data follows a specific distribution, usually a normal distribution, while non-parametric tests don’t rely on assumptions about the data’s distribution i.e., the data can be collected from a sample that does not follow a specific distribution.
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- 1.UNDERSTANDING DATA
- 1.1 Numbers & Number System
- 1.2 Rows & Columns
- 1.3 Variable based Classification
- 1.4 Structured, Unstructured & Semi Structured Data
- 1.5 Scalars, Vectors & Tensors
- 1.6 Univariate, Bivariate & Multivariate data
- 1.7 Parametric & Non-parametric data
- 1.8 Batch data vs Streaming data
- 1.9 Small, Large, and Big Data
- 2.DESCRIPTIVE STATISTICS
- 3.PROBABILITY THEORY
- 4.PROBABILITY DISTRIBUTIONS
- 5. INFERENTIAL STATISTICS
- 6. DESIGN OF EXPERIMENTS
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Parametric & Non-parametric data
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