Probability and Statistics detail syllabus for Petroleum Engineering (Petro Engg), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (MA8391), Category (BS), Contact Periods/week (4), Teaching hours/week (4), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other petro engg 3rd sem syllabus for b.tech 2017 regulation anna univ you can visit Petro Engg 3rd Sem syllabus for B.Tech 2017 regulation Anna Univ Subjects. The detail syllabus for probability and statistics is as follows.”
Course Objective:
- This course aims at providing the required skill to apply the statistical tools in engineering problems.
- To introduce the basic concepts of probability and random variables.
- To introduce the basic concepts of two dimensional random variables.
- To acquaint the knowledge of testing of hypothesis for small and large samples which plays an important role in real life problems.
- To introduce the basic concepts of classifications of design of experiments which plays very important roles in the field of agriculture and statistical quality control.
Unit I
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Unit II
Two – Dimensional Random Variables
Joint distributions – Marginal and conditional distributions – Covariance – Correlation and linear regression – Transformation of random variables – Central limit theorem (for independent and identically distributed random variables).
Unit III
Testing of Hypothesis
Sampling distributions – Estimation of parameters – Statistical hypothesis – Large sample tests based on Normal distribution for single mean and difference of means -Tests based on t, Chi-square and F distributions for mean, variance and proportion – Contingency table (test for independent) – Goodness of fit.
Unit IV
For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.
Unit V
Statistical Quality Control
Control charts for measurements (X and R charts) – Control charts for attributes (p, c and np charts) -Tolerance limits – Acceptance sampling.
Course Outcome:
Upon successful completion of the course, students will be able to:
- Understand the fundamental knowledge of the concepts of probability and have knowledge of standard distributions which can describe real life phenomenon.
- Understand the basic concepts of one and two dimensional random variables and apply in engineering applications.
- Apply the concept of testing of hypothesis for small and large samples in real life problems.
- Apply the basic concepts of classifications of design of experiments in the field of agriculture and statistical quality control.
- Have the notion of sampling distributions and statistical techniques used in engineering and management problems.
Text Books:
- Johnson, R.A., Miller, I and Freund J., “Miller and Freunds Probability and Statistics for Engineers”, Pearson Education, Asia, 8th Edition, 2015.
- Milton. J. S. and Arnold. J.C., “Introduction to Probability and Statistics”, Tata McGraw Hill, 4th Edition, 2007.
References:
- Devore. J.L., “Probability and Statistics for Engineering and the Sciences, Cengage Learning, New Delhi, 8th Edition, 2014.
- Papoulis, A. and Unnikrishnapillai, S., “Probability, Random Variables and Stochastic Processes”, McGraw Hill Education India, 4th Edition, New Delhi, 2010.
- Ross, S.M., “Introduction to Probability and Statistics for Engineers and Scientists”, 3rd Edition, Elsevier, 2004.
- Spiegel. M.R., Schiller. J. and Srinivasan, R.A., “Schaums Outline of Theory and Problems of Probability and Statistics”, Tata McGraw Hill Edition, 2004.
- Walpole. R.E., Myers. R.H., Myers. S.L. and Ye. K., “Probability and Statistics for Engineers and Scientists”, Pearson Education, Asia, 8th Edition, 2007.
For detail syllabus of all other subjects of B.Tech Petro Engg, 2017 regulation do visit Petro Engg 3rd Sem syllabus for 2017 Regulation.
Dont forget to download iStudy for latest syllabus and results, class timetable and more.