Analyzing quantitative data involves several steps:
1. Data Cleaning: Ensuring the data is accurate and free from errors or inconsistencies. 2. Descriptive Statistics: Summarizing the data using measures such as mean, median, mode, and standard deviation. 3. Inferential Statistics: Making predictions or inferences about a population based on a sample of data. Techniques include hypothesis testing, regression analysis, and ANOVA. 4. Data Visualization: Using graphs, charts, and dashboards to represent data visually and identify patterns or trends.