This lecture introduces amplitude shift keying (ASK) as a method for encoding data in communication systems. The instructor explains the basic principles of ASK, including how the amplitude of a carrier signal varies to represent binary data. The lecture emphasizes the importance of statistical analysis and graphical representation of data, using Jupyter Notebooks for practical exercises. Students learn to visualize data through histograms and cumulative distribution plots, which help in understanding the distribution of service times and other datasets. The instructor discusses the significance of measures of central tendency, including mean, median, and mode, and how they relate to data analysis. Outliers and their impact on statistical measures are also covered, along with techniques for detecting them. The lecture concludes with a discussion on the advantages and disadvantages of different data visualization methods, preparing students for practical applications in their future analyses.