Data in Research is the foundation of every study. Without data, no analysis, interpretation, or conclusion can be made. Whether in biology, medicine, social sciences, or business research, data provides the evidence that supports or rejects a hypothesis.
ANOVA (Analysis of Variance) is a statistical method used to compare the means of three or more groups and determine whether there are significant differences among them.
Learn the Chi-square test in research methodology with formula, types, conditions, examples, and FAQs. Easy guide for biology and health research.
Learn the difference between independent and dependent variables with definitions, examples, types, and FAQs. Easy guide for students and biology research.
Descriptive studies are types of research that focuses on describing the distribution of disease, health conditions, or other characteristics in a population.
Two of the most common mistakes in research are Type I error and Type II error. This article explains what Type I and Type II errors are, their causes, probabilities, differences, and real-life examples in simple, clear language.
Learn the difference between null hypothesis and alternative hypothesis with definitions, symbols, examples, importance, and applications in biology research.
Report writing is a systematic and well-organized presentation of facts and findings about an event or study. It explains something observed, heard, done, or investigated, often after an in-depth study.
Data processing and analysis involve summarizing and organizing collected data to answer research questions. It involves editing, coding, classification, and tabulation to convert raw data into meaningful information.
In Research Methodology, Sampling is a process in which a predetermined number of observations are taken from a larger population.