7.5 Data Visualization For Hypothesis Testing
Data visualization plays an important role in hypothesis testing by presenting data in a clear and understandable form. It helps researchers observe patterns, trends, and relationships in data before applying statistical tests. Visual representations make complex data easier to interpret and reduce the chances of misunderstanding results. Through charts and graphs, differences between groups can be easily compared (as shown in Figure 7.2). Visualization also assists in identifying outliers and anomalies in datasets. It supports better decision-making by providing visual evidence. Overall, data visualization strengthens the process of hypothesis testing by improving clarity and accuracy.
(Figure 7.2: Data Visualization)