TIM-6520

Ali, Z., & Bhaskar, S. B. (2016). Basic statistical tools in research and data analysis. Indian Journal of Anaesthesia, 60(9), 54–61.
This resource covers a brief outline of the variables, an understanding of quantitative and qualitative variables, and the measures of central tendency.

Mohammad, N., & McGivern, L. (2020). Comparing Gamma and Log-Normal GLMs in R Using Simulation and Real Data Set. In Online Submission. Online Submission.
This resource argues the comparability of the two models been taught through both simulation and real data analysis, where students will learn to identify the cases in which these two models can be used somewhat interchangeably.

Lang, T. A., & Altman, D. G. (2016). Statistical analyses and methods in the published literature: The SAMPL guidelines. Medical Writing, 25(3), 31–36.
This resource gives guidelines on how to report basic statistical methods and results.

Manisera, M., & Zuccolotto, P. (2019). Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” Statistical Methods & Applications: Journal of the Italian Statistical Society, 28(3), 465.
This resource discusses a generalized formalization according to the CUB paradigm decision process, comprising the basic CUB model, some already existing extensions, and possible future developments.

Begum, K. J., & Ahmed, A. (2016). The importance of statistical tools in research work.
This resource gives a brief study on statistical tools used in research work.