Jyoti Luhaniwal

Introduction Data is enriched with meaning not only through analysis of individual numbers but also through investigation of connections between various measurements. For instance, a researcher interested in data about students' attendance and their academic achievements can be concerned with finding out whether students who have better attendance also tend to have better marks. Many similar questions emerge in other disciplines as well. The agricultural researcher can study connection between rainfall and yield, and a businessman can try to establish a link between customer satisfaction and return visits. Statistics offers several methods for such type of research. One of the most widely applied ones is correlation analysis. Exploring Relationships Through Correlation Correlation is used to help study the presence of change in one phenomenon along with a change in the other. For example, if an investigator takes down the number of study hours per week and examination scores of a p...

 Statistics helps us understand data and make informed decisions. However, collecting data is not enough. We often need to determine whether the information we observe provides sufficient evidence to support a particular claim. This is where hypothesis testing becomes useful. Hypothesis testing is a statistical method used to examine claims about a population using information obtained from a sample. It is widely applied in education, healthcare, business, economics, and scientific research. What Is Hypothesis Testing? Hypothesis testing is a procedure that helps us decide whether a claim about a population should be rejected based on sample data. For example, suppose a university claims that the average marks of its students in a mathematics examination are 70. We can select a sample of students, calculate their average marks, and examine whether the sample provides sufficient evidence to question the university's claim. The main purpose is not to prove a claim with comp...