SQC, or statistical quality control, is a strategy for keeping an eye on and regulating a product’s quality. It’s a methodical strategy for making sure finished goods are up to snuff in terms of quality specs. The sources of variability in the manufacturing process that might lead to faults or nonconformity are easier to identify and manage with the assistance of SQC. The steps of SQC include data collection, data analysis using the statistical techniques, and decision making on the basis of the analysis. Information is gathered through many different channels, such as manufacturing procedures, quality control checks, and end-user opinions. For SQC, practitioners may use anything from the mean and standard deviation to elaborate statistical models like control charts and the Design of Experiments (DOE). Thus, quality control is the use of suitable methods and procedures to attain, maintain, and improve the quality of goods and services and to fulfill the requirements of consumers in terms of cost, security, availability, dependability, utility, etc. The purpose of statistical quality control (SQC) is to reduce variability and enhance procedures in order to progressively enhance product or service quality. Improved market competitiveness, more customer happiness, and cheaper costs owing to less waste and rework are all possible outcomes. This book introduces SQC is an effective method for businesses to use data and statistical analysis to make better choices about their processes and products, so increasing both quality and competitiveness.