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What is Assumptions of Parametric Data about?
This chapter discusses the importance of statistical assumptions in data analysis, using the metaphor of the ugly duckling to illustrate how raw data can be misleading. It emphasizes the need to check assumptions, particularly for parametric tests, which require normally distributed data, homogeneity of variance, interval data, and independence. The chapter also introduces tools and methods for assessing these assumptions, including visual checks and statistical packages in R.
- Author
- Saksham Purbey
- Language
- EN