Statistical Quality Control...

Statistical Quality Control Statistical quality control (SQC) is the term used to describe the set of statistical tools deployed for evaluating the organizational quality by the quality professionals. Statistical quality control can be divided into following three broad categories. Descriptive statistics – These are the statistics used to describe certain quality characteristics such as the central tendency and variability of the observed data. It also describes the relationship. Descriptive statistics include statistics such as the mean, standard deviation, the range, and a measure of the distribution of data. Statistical process control (SPC) – It consists of statistical tools that involve inspecting a random sample of the output from a process and deciding whether the process is producing products with characteristics that fall within a predetermined range. SPC answers the question whether the process is functioning properly or not. These tools are very important for a process since they help in identifying and catching a quality problem during the production process. Acceptance sampling – It helps in evaluating whether there is problem with quality and whether desirable quality is being achieved for a batch of product. Accepting sampling consists of the process of randomly inspecting a sample of goods and deciding whether to accept the entire lot based on the results. This sampling decides whether a batch of goods is to be accepted or rejected. There are seven basic tools employed for SQC. The seven basic tools of quality is a designation given to a fixed set of graphical techniques identified as being most helpful in trouble shooting issues related to quality. They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality related issues. These seven basic tools are described below. Check...