Statistical Methods detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 3rd Sem Scheme of Electronics & Telecommunication Engineering (ET), 2017 Onwards, do visit ET 3rd Sem Scheme, 2017 Onwards. For the Elective-I scheme of 3rd Sem 2017 onwards, refer to ET 3rd Sem Elective-I Scheme 2017 Onwards. The detail syllabus for statistical methods is as follows.
Statistical Methods Syllabus for Electronics & Telecommunication Engineering (ET) 2nd Year 3rd Sem 2017 DBATU
Course Objectives:
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Course Outcomes:
- How to calculate and apply measures of location and measures of dispersion grouped andungrouped data cases.
- How to apply discrete and continuous probability distributions to various business problems.
- Perform Test of Hypothesis as well as calculate confidence interval for a population parameter for single sample and two sample cases. Understand the concept of p-values.
- Learn non-parametric test such as the Chi-Square test for Independence as well as Goodness of Fit.
- Compute and interpret the results of Bivariate and Multivariate Regression and Correlation Analysis, for forecasting and also perform ANOVA and F-test. Further, understand both the meaning and applicability of a dummy variable and the assumptions which underline a regression model. Be able to perform a multiple regression using computer software.
Unit 1
Statistics:
Measures of Central Tendency : Concept of central tendency of statistical data : Arithmetic Mean, Mode, Median, Measures of Dispersion: Range, Quartiles, Mean deviation, mean square deviation, Variance and standard deviation, Moments about mean and point, Skewness: positive skewness, negative skewness, symmetric frequency distribution, Bowleys coefficient of skewness, karl Pearsons coefficient of skewness,Measures of skewness based on moments (01, y1), Concepts of kurtosis, leptokurtic, mesokurtic and platykurtic frequency distributions.
Unit 2
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Unit 3
Probability:
Definition of probability, Addition theorem of probability, Multiplication theorem of probability, Bayes theorem of inverse probability, Random Variable and Mathematical Expectation: Definition of random variables, Probability mass function, Probability density function.
Unit 4
Probability distribution:
Theoretical Probability Distributions: Binomial distribution, Poisson distribution, Normal distribution, Fitting of binomial distributions, Properties of binomial, poisson and normal distributions, Relation between binomial and normal distributions, Relation between poisson and normal distributions, Importance of normal distribution, Examples.
Unit 5
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Unit 6
Time series:
Concepts and components of a time series. Representation of trend by Freehand Curve Method, Estimation of Trend using Moving Average Method and Least Squares Method (Linear Trend only ) Estimation of Seasonal Component using Simple Arithmetic Mean for Additive Model only (For Trend free data only) Concept of Forecasting using Least Squares Method.
Reference/Text Book:
- Goon Gupta and Das Gupta: Fundamentals of Statistics, Vol. 1, The World Press Pvt. Ltd., Kolkata.
- Miller and Fruend : Modern Elementary Statistics.
- Snedecor and Cochran : Statistical Methods, Oxford and IBH Publishers.
- Mukhopadhyay, P. : Mathematical Statistics (1996), New Central Book Agency, Calcutta, Introduction to Mathematical Statistics, Ed. 4 (1989), MacMillan Publishing Co. New York.
- Gupta and Kapoor : Fundamentals of Mathematical Statistics, Sultan Chand and Sons, New Delhi.
- S. C. Gupta, Fundamentals of Statistics, 46th edition, Himalaya publishing house, 2010.
- G.V. Kumbhojkar, Probability and Random Processes, 14th edition, C. Jamnadas and co., 2010.
- G. Haribaskaran, Probability, Queuing Theory and Reliability Engineering, 6th edition, Laxmi publications, 2010.
- Hoel, P. G. : Introduction to Mathematical Statistics (1962), John Wiley and Sons, New York.
- Feller, W. : Introduction to Probability Theory and Its Applications, Vol. I (1963), Asian Publishing House, Bombay.
- Mood, A. M. and Graybill, F. A. and Boes D.C. E. : Introduction to Theory of Statistics, Ed .3 ( 1974 ), McGraw Hill and Kagakusha Ltd. London. 15
- Mayer, P. N. : Introduction to Probability and Statistical Applications, Addison Wesley Publishing Co., Massachusetts)
- Jhon Bird, Higher Engineering Mathematics by Elsevier
- Applied Calculus: By Stephen Waner and Steven Constenoble, Brooks/Cole Thomson Learning, second edition.
For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 3rd Sem 2017 onwards, visit ET 3rd Sem Subjects of 2017 Onwards.