Abigail M.Villa IE 32 AB 2L 2011-36039 Westinghouse Method Of Rating The method is also called LMS carrying the initials of its founders’ names (Lowry, Maynard and Stegemerten). This rating method was developed at Westinghouse and published in 1927. This method has four factors; skill, effort, conditions and consistency. The official definitions of the four factors are as follows: Skill – Measures the workers proficiency in adhering to a given method, coordination of proper hand and eye movements, rhythm of the movements. The skill has been classified into six degrees, each degree indicating a specified class of skill within which an operator performs the task. Effort – Measures the speed with which the skill is applied. The effort is also divided into six degrees. Consistency – Measures factors which affect the consistency of the operator to perform the work cycle repeatedly within the same time. Elements which affect consistency are variation in materials, hard spots, and presence of foreign elements. Consistency is subdivided into six classes. Conditions – Measure the extent to which the conditions like temperature, vibrations, light and noise affect’s the operator’s performance. In short, skill is the proficiency in following the given method; effort is the will to work; conditions refer to the general work surroundings; and consistency refers to the performance itself. without having to take any other sample means to compare it with. such as the sample proportion.google. using an important result called the Central Limit Theorem. Because statisticians know so much about the normal distribution.Central Limit Theorem The normal distribution is used to help measure the accuracy of many statistics. is that really true?” (These two particular analyses are made possible by applications of the Central Limit Theorem called confidence intervals and hypothesis tests.d. no matter what the distribution of the original data looks like. you can use your data to answer questions about a population. (n.html .com/how-to/content/how-the-central-limit-theorem-is-used-in-statistic. And it doesn’t just apply to the sample mean. Retrieved January 9. D. 2014 from http://www. Industrial http://www.books. the distribution of the sample means has an approximate normal distribution. S.) The Central Limit Theorem (CLT for short) basically says that for non-normal data. as long as the sample size is large enough (usually at least 30) and all samples have the same size. 2014 from (2) Rumsey.) How the Central Limit Theorem Is Used in Statistics.?”. such as “What’s the mean household income for the whole U. References (1) Patil.dummies. B. This theorem gives you the ability to measure how much the means of various samples will vary.S. these analyses are much easier. By taking this variability into account. including the sample mean.com. or “This report said 75% of all gift cards go unused.ph Engineering and Mangament. Retrieved January 9. respectively. the CLT is also true for other sample statistics.