Statistical thinking requires a new approach due to recent developments of the modern statistical science.
This new approach puts causal thinking at the heart of the key statistical thinking concepts, which reflects new developments of modern statistical science in the field of causal inference.
This new approach is based on the key concepts of modern statistical science — understanding modern sampling theories, missing data mechanisms and their impact on usefulness of data interpretations obtained from Descriptive Statistics.
Furthermore, understanding of sampling theories and missing data mechanisms is critical for performing Inferential Statistics in a scientifically objective way.
This new approach to statistical thinking is based on advances of modern statistical science and is accordingly called modern statistical thinking.
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