{"id":22184,"date":"2020-07-12T02:44:24","date_gmt":"2020-07-12T02:44:24","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/18im44-statistics-for-engineers-iem-syllabus-for-be-4th-sem-2018-scheme-vtu\/"},"modified":"2020-07-12T02:44:24","modified_gmt":"2020-07-12T02:44:24","slug":"18im44-statistics-for-engineers-iem-syllabus-for-be-4th-sem-2018-scheme-vtu","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/18im44-statistics-for-engineers-iem-syllabus-for-be-4th-sem-2018-scheme-vtu\/","title":{"rendered":"18IM44: Statistics for Engineers IEM Syllabus for BE 4th Sem 2018 Scheme VTU"},"content":{"rendered":"

Statistics for Engineers detailed Syllabus for Industrial Engineering & Management (IEM), 2018 scheme has been taken from the VTUs<\/a> official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical\/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.<\/p>\n

For all other VTU IEM 4th Sem Syllabus for BE 2018 Scheme, do visit VTU IEM 4th Sem Syllabus for BE 2018 Scheme <\/a>Subjects. The detailed Syllabus for statistics for engineers is as follows. <\/p>\n

Course Learning Objectives:<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Module-1<\/h4>\n

\nTHE ROLE OF STATISTICS IN ENGINEERING: Statistical Thinking, Collecting data, Statistical Modelling Frame work. DATA SUMMARY AND PRESENTATION: Measure of central tendency and variance, Importance of Data summary and Display, Tabular and Graphical display. DISCRETE RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Discrete Random variables, Probability distributions and Probability mass functions, Cumulative distribution functions, Mean and Variance of a discrete random variable, Discrete uniform distribution, Binominal distribution, Hyper Geometric distribution, Poisson distribution.<\/p>\n

Module-2<\/h4>\n

\nCONTINUOUS RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Continuous random variables, Probability distributions and probability density functions, cumulative distribution functions, Mean and Variance of a continuous random variable, uniform distribution, Normal distribution, Normal approximation to Binominal and Poisson distribution. ESTIMATION THEORY: Statistical Inference, Random sampling, Properties of Estimators, Sampling distribution, Sampling distribution of mean, variance and proportion. Introduction to confidence intervals.<\/p>\n

Module-3<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Module-4<\/h4>\n

\nSIMPLE LINEAR REGRESSIONS AND CORRELATION: Simple Linear Regression, Properties of Least square Estimators and Estimation of variances, Common abuses of regression, Prediction of new observations, Assessing the adequacy of regression model, Transformations to a straight line, Introduction to multiple regression (no problems), Correlation (Problems).<\/p>\n

Module-5<\/h4>\n

\nDESIGN OF EXPERIMENTS: Strategy of experimentation, completely randomized single – factor experiment, Tests on individual treatment means, the random effects model, the randomized complete block design, one way analysis of variance and two way analysis of variance, 22 Factorial Design, 23 Factorial Design (Problems).<\/p>\n

Course Outcomes:<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Question Paper Pattern:<\/h4>\n

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