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MODULE: I Overview of Statistics
Nature, Scope and limitations of statistics; uses of statistics to business and industrial activities, Statistical Data –primary and secondary data, Collection of data, Classification and tabulation of data, Diagrammatic and graphic representation of data. Questionnaire –its characteristics and drafting.
MODULE-II Measurement of Central Tendency & Dispersion
Data Measure of Central Tendency: Introduction, Meaning of quantitative technique, statistical Research, Measures of central tendency (Averages), Arithmetic mean, Weighted Mean, Median, Mode Measures of Dispersion: Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of Variation.
MODULE : III Probability
Probability: Basic concepts, Bayesian, Probability Distribution- Binomial, Poisson, Normal Distribution .
MODULE -IV Sampling and Hypothesis test
Sampling: Introduction, why sampling, sampling methods, Sampling distribution, standard error, typeI and II error, Estimation, properties of good estimator, Type of estimation, Confidence limit. Hypothesis: Hypothesis testing, Z-test, t-test, Chi square test, F-test, ANOVA.
MODULE -V Forecasting Technique
Correlation, Regression, Time series.
Text Book
1. Gupta .S.C and Kapoor .V.K, “Fundamentals of Mathematical Statistics”, Sultan Chand and sons, Reprint 2003.
2. Gupta .S.C, and Kapoor, V.K, “Fundamentals of Applied Statistics”, Sultan Chand and sons, 2003.
3. Veerarajan.T, “Probability Statistics and Random Processes”, TMH, First reprint, 2004.
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Dr. Kamal Kumar Barik is presently working as Associate Professor, Dept. of Civil Engineering, CUTM, Bhubaneswar Campus. He did his Ph.D. at SRM University, Chennai in the field of Remote Sensing and GIS. He has been more than 8 years of teaching experience at Post Graduate level (M.Sc. and M.Tech.). Previously he was served as […]
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