Statistical Analysis (Observational)

Statistical analysis is a cornerstone of research across various disciplines, enabling researchers to interpret data, test hypotheses, and draw meaningful conclusions. This overview covers key components of statistical analysis:
-Describing the sample
-Detecting variance
-Comparing and testing hypotheses
-Establishing association/correlation
-Prediction (e.g., regression)
-Proving causality
Statistical analysis is a multi-faceted process that begins with understanding and describing data and extends to making inferences about populations and causal relationships. Each step-from detecting variance to proving causality-is crucial for deriving valid conclusions and making informed decisions based on data. Mastery of these statistical tools empowers researchers to unlock insights and contribute valuable knowledge across various fields.
0:55 Introduction
04:43 Two Types of Analysis
07:31 Statistical Tests (Types)
11:33 Statistical Tests (Key Steps)
13:53 Takeaway

[@alphonsebouda1388]

Thank you Prof for that relevant lesson.

[@ammaralkhafaji6164]

Great. thank you