“From Null to Critical: A Hypothesis Testing Journey”

<p>Exploratory Data Analysis (EDA) serves as the foundational step in understanding datasets. It entails the meticulous examination of data to unveil patterns, relationships, and critical insights. EDA is akin to detective work for data scientists, enabling them to form initial conclusions about the data&rsquo;s nature.</p> <p>Inferential statistics takes the insights from EDA to the next level. It allows data scientists to draw meaningful conclusions about an entire population based on a representative sample. However, it&rsquo;s not enough to merely formulate these conclusions. We need a robust method to verify their validity, and that&rsquo;s precisely where hypothesis testing comes into play.</p> <p><a href="https://medium.com/@nitin.data1997/hypothesis-testing-ffb76c84de6f"><strong>Click Here</strong></a></p>