BSc Statistics Sem 1 PDF
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Sardar Patel University
2023
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This document is a syllabus for Descriptive Statistics for Univariate Data in a BSc Statistics course, for the first year, semester 1. The syllabus covers topics like data types, measures of central tendency (mean, median, mode), measures of dispersion, and graphical representations. It also includes details on evaluation pattern, course outcomes and suggested references.
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SARDAR PATEL UNIVERSITY Vallabh Vidyanagar, Gujarat (Reaccredited with 'A' Grade by NAAC (CGPA 3.11) Syllabus with effect from the Academic Year 2023-2024 B. Sc. Statistics (Faculty of Science)...
SARDAR PATEL UNIVERSITY Vallabh Vidyanagar, Gujarat (Reaccredited with 'A' Grade by NAAC (CGPA 3.11) Syllabus with effect from the Academic Year 2023-2024 B. Sc. Statistics (Faculty of Science) F'Irs t year Semes t er (I) Course Code USOlMISTAOl Title ofthe DESCRIPTIVE STATISTICS FOR Course UNIVARIATE DATA Total Credits Hours per 02 02 of the Course Week Course 1. To understand the types of data in scientific and other fields Objectives: 2.To compute various measures of central tendency, dispersion, skewness and kurtosis with its merits and demerits and its usefulness in real life. 3. To understand the concept of various partition values and its uses in real life. Course Content Unit Description Weightage* (%) I Data Types : scale of measurements - nominal, ordinal, interval and ratio Analysis of Quantitative data - I Measures of central tendency : Mean, Median, Mode, Geometric mean 50% Harmonic mean, Weighted mean, Combined mean with its merits and demerits, Properties (with proof), Examples Partition values and their graphical representation II Analysis of Quantitative data - II Measures of Dispersion : Range, Quartile derivation, Mean Derivation, Standard derivation and Coefficient of variation(C.V) with its merits and demerits, Properties (with proof) Box - and - whisker plot 50% Moments : Raw and central moments Relationship between raw and central moments Skewness, Kurtosis , Examples Teaching- Interactive Class Lectures, ICT Tools, hand on expenence in problem Learning solving through practical sessions. Methodology - ~~ SARDAR PATEL UNIVERSITY Vallabh Vidyanagar, Gujarat (Reaccredited with 'A' Grade by NAAC (CGPA 3.11) Syllabus with effect from the Academic Year 2023-2024 Evaluation Pattern Sr. Details of the Evaluation Weightage No. 1. Internal Written I Practical Examination (As per CBCS R.6.8.3) 15% 2. Internal Continuous Assessment in the form of Practical, Viva-voce, 15% Quizzes, Attendance (As per CBCS R.6.8.3) 3. University Examination 70% Course Outcomes: Having completed this course, the learnerwill be able to 1. Quantify the measures of central tendency (location), dispersion (spread), skewness and kurtosis (shape related) and relate them with data 2. Calculate quantiles and relate it with different characteristics of data 3. Suggested Text Books/ References: Sr. No., Text Books 1. B. L. Agarwal (2003). Programmed STATISTICS (Questions - Answers). New Age International Publishers. Chap. 1-5. 2. D. Bhattacharya and S. Roychowdhury (2019 reprint).STATISTICS, Theory and Practice, 3rd Ed., U.N. Dhur & Sons Pvt. Ltd., Kolkata. Chap. 1-7. 3. D. freedman, R. Pisani, R. Purves (2017 reprint). Statistics, 4th Ed., Viva Books, Kolkata. Chap 3-4. 4. Goon, A.M., Gupta, M. K. and Dasgupta, B. (2002). Fundamental of Statistics, Vol. I, gth Ed., The World Press, Kolkata. Chap. 4-9. 5. B. L. Agarwal (2006). Basic Statistics, Revised 4th Ed., New Age International Publishers. Chap. 18. Reference Books Page 2 of 6 SARDAR PATEL UNIVERSITY Vallabh Vidyanagar, Gujarat (Reaccredited with 'A' Grade by NAAC (CGPA 3.11) Syllabus with effect from the Academic Year 2023-2024 Course Total Credits Hours per 02 04 ofthe Course Week C
