WHEN TO USE WHAT STATISTICAL TEST IN RESEARCH
Choosing the Right Statistical Test in Research: A Guide for Professionals (+254707193396) Selecting the appropriate statistical test is essential for accurate data analysis in research, impacting the validity and reliability of findings. This guide provides insights on common statistical tests, their applications, and considerations tailored for researchers, clinicians, and data scientists alike. t-Test Purpose : Comparing means between two groups. Example : Analyzing differences in pain relief between two medication groups. Notes : Assumes normal distribution in both groups; ideal for small samples (≤30). ANOVA (Analysis of Variance) Purpose : Comparing means across three or more groups. Example : Comparing patient recovery times across different hospitals. Notes : ANOVA assumes homogeneity of variances; post hoc tests may follow if significance is found. Regression Analysis (Simple and Multiple) Purpose : Analyzing relationships between dependent and independent variables. Example :...