Titlebook: R Programming; Statistical Data Ana Kingsley Okoye,Samira Hosseini Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusi

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Understanding the Different Types of Statistical Data Analysis and Methodsrios for the use of each method. The authors provide this chapter as a guideline for researchers in the selection of the most appropriate or suitable statistical analysis/method for their research based on the type of data (e.g., independent versus dependent variable) or research design. We note tha

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Regression Analysis in R: Linear Regression and Logistic Regressions and practically illustrates to the users how to run a . and . regression analysis in R. This statistical technique (regression) helps to estimate the association or dependency of relationship between two variables. Technically, there are two main points to consider when conducting regression analy

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Correlation Tests in R: Pearson Cor, Kendall’s Tau, and Spearman’s Rhoon, Kendall’s tau, and Spearman’s rho correlation tests. These are the primary inferential (statistical) procedures or methods used by the researchers or the data analysts to evaluate the . . (direction) of relationship between two variables (continuous or categorical). The . (also known as Pearson

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