Reference No: ECO0255TECPages: 32Published on: 1, January, 1978
Abstract: This note explains the growth, highlights major issues, and pinpoints problem areas of the cement industry. The government policy relating to the industry has been discussed broadly. The arguments have been substantiated with statistical tables. In the end, some major issues have been raised for class discussion. ... More
Reference No: QM0271TECPages: 7Published on: 28, February, 2014
Abstract: In this module, we will discuss one of the most important techniques of statistical inference, that is, the process of constructing an interval that is believed to contain the true parameter value with a certain degree of confidence. These kind of intervals are ubiquitous in the statistical literature and forms ... More
Reference No: QM0272TECPages: 9Published on: 24, March, 2014
Abstract: In this module, we will discuss the procedure of testing statistical hypotheses which is an important arm of statistical inference. This procedure revolves around the specification of two hypotheses (each a statement about the parameter) and them selecting one of those based on some well defined statistical technique. In doing ... More
Reference No: QM0270TECPages: 9Published on: 26, February, 2014
Abstract: Sampling distribution is a very important technique that helps us to quantify the “precision” of a statistical inferential procedure by analyzing the distribution (hence variability) of sample summaries about the corresponding population parameter. In this module, we will discuss the sampling distribution of the sample mean and proportion in detail. ... More
Reference No: PROD0034TECPages: 20Published on: 1, January, 1967
Abstract: The note explains four advanced applications of PERT networks: 1) scheduling with limited resources, 2) time? cost trade?offs, 3) network cost control systems, and 4) statistical approach in PERT scheduling. The existing rules and procedures for their use have been illustrated by examples. ... More
Reference No: QM0130Pages: 9Published on: 1, January, 1977
Abstract: Deals with problems in statistical quality control, especially process control and acceptance sampling, in a large engineering company. ... More