The main difference between descriptive and inferential statistics lies in their purposes and the methods they use. According to Bobbitt (2020), descriptive statistics aims to describe a good amount of raw data using summary statistics, graphs, and tables. The purpose of descriptive statistics summarizes, organizes, and present data in a meaningful way. Descriptive statistics also include measures such as mean, median, mode, standard deviation, variance, and visualizations like charts and graphs. For example, calculating the average test score of a class or creating a pie chart showing the distribution of favorite colors. Test Scores: 98, 90, 87, 81, 81, 72, 70, 69, and 65 Mean: 98+90+87+81+81+72+70+69+65=713; 713/9=79.2 is the average Median:81 is the median Mode:81 is the mode (most frequent number) According to Bobbitt (2020), inferential statistics uses a small sample of data to draw inferences about the larger population that the sample came from. The purpose of inferential statistics makes predictions, generalizations, or inferences about a larger population based on a sample. Inferential statistics includes hypothesis testing, confidence intervals, regression analysis, and significance testing. For example, estimating the average income of all residents in a city based on a survey of 1,000 people. can you help me reply to this discussion