Tiffany

* The science concerned with “the collection, organization, analysis, interpretation, and presentation of data.”The use of statistical methods in quality dates back to 1903 at the Bell Telephone system. In the 1920s, Bell Labs thought that statistical tools would have applications in the factory, and began to experiment with statistical sampling, eventually leading to the development of control chartsrandom variable, X, is a numerical description of the outcome of an experiment. Formally, a random variable is a function that assigns a numerical value to every possible outcome in a sample space.A probability distribution, f(x), is a characterization of the possible values that a random variable may assume along with the probability of assuming these values.The cumulative distribution function, F(x), specifies the probability that the random variable X will assume a value less than or equal to a specified value, x, denoted as P(X ≤ x).DiscreteBinomialPoissonContinuousNormalExponentialA curve that characterizes outcomes of a continuous random variable is called a probability density function, and is described by a mathematical function f(x).Probabilities are only defined over intervals.The cumulative distribution function, F(x), represents the probability P(X ≤ x).Sampling distribution – a probability distribution that identifies or lists the possible values of a sample statistic along with the corresponding probabilities.The sampling distribution of sample mean ( ) identifies the possible sample mean values along with the associated probabilities.CHAPTER 7 PRODUCT DEVELOPMENT Idea Generation: Develop concept incorporating customer needs and expectations. Preliminary Concept Development: Study new ideas for feasibility. Product/Process Development: Evaluate design alternatives and determining engineering specifications; test prototypes; develop, test, and standardize processes. Full-Scale Production: Release the product to manufacturing or service delivery teams....