Reference No: ECO0260TECPages: 14 Published on: 1, January, 1979
Abstract: The note discusses industrial policy in India with reference to the three policy resolutions (1948, 1956 and 1977). Industrial policy is examined against the background of economic policy and its broad objectives. Towards the end, questions are raised in the area of evaluating industrial development. Statistical tables relating to industrial development in India ... More
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: MAR0152TECPages: 10 Published on: 1, January, 1976
Abstract: The note underlines the utility of industrial market potential index. Starting from a simple model, a procedure for developing an index of industrial market potential is finally arrived at. Development of the index would require selection of production statistics, and input and output coefficients. For some products the index has ... More
Reference No: ECO0133Pages: 16 Published on: 1, January, 1967
Abstract: Deals with the Association stand that government policies are adversely affecting the growth of the industry. Statistical data on the industry's experience is given in the case, in light of which policies to be adopted to encourage the industry's growth can be recommended. ... 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: 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: 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
Reference No: CMA0811(B)Pages: 35Published on: 12, June, 2008
Abstract: A famous brand of sauce tested positive for Sudan I (a prohibited carcinogenic dye added for colour enhancement), which led to the biggest food products recall off the shelves in supermarkets and departmental stores of Britain. This brought to light that the mandatory testing of Sudan I by Spices Board ... More
Reference No: PROD0033Pages: 25Published on: 1, January, 1967
Abstract: The case is about the use of statistical control charts for controlling day?to?day finished stock inventories in an automobile manufacturing company. It highlights the fact that control charts can help in identifying other areas and problems and in solving them. ... More
Reference No: MAR0276(B)Pages: 6 Published on: 1, January, 1981
Abstract: The case describes preliminary analysis done on the data collected in Phase II of the research described in Case (A) (MAR0276(A)). It can be used for understanding and evaluating the preliminary data analysis. Use of some nonparametric statistical techniques could be demonstrated for making inferences about different segments ... More