AN OVERVIEW OF STATISTICS: COMPREHENDING HYPOTHESIS TESTING AND STATISTICAL IMPERFECTIONS (ERRORS AND BIAS)
*Mukesh Jangir, Devendra Singh Chahar, Rameshwar Lal and Sankalp Sharma
ABSTRACT
Hypothesis testing is a fundamental process in statistical analyses for research projects. It involves determining the likelihood of an event occurring by chance. In experimental studies, subjects are divided into two groups - a treatment group and a control group. The results from these groups are compared to ascertain if any observed differences can be attributed to the treatment effect or are merely due to random sampling error. The null hypothesis, which posits that there is no difference between the groups, is conventionally tested. For instance, in a study examining treatment effects on mortality rates, the null hypothesis would state that the treatment has no effect. This methodology forms the core of most statistical analyses in individual research projects.
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