Central University of Punjab, Bathinda

Transcription

1 P a g e 1 Central University of Punjab, Bathinda Course Scheme & Syllabus for University Statistics

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3 P a g e 1 Sr. No. Course Code 1 TBA1 2 TBA2 3 TBA3 Course Title Basic Statistics (Sciences) Basic Statistics (Humanities and Social Sciences) Basic Statistics (Ph.D.) University Statistics Course Type L T P Cr C A % Weightage 2 1 E T T C C C Examination Pattern: 1. Applicable for aster Courses C A : Continuous Assessment: Based on Objective Type Tests (10%)/ Assignments (5%)/ Term Paper (10%) : id-term Test-1: Based on Subjective Type Test (25%) 1 : id-term Test-2: Based on Subjective Type Test (25%) 2 E : End-Term Exam (Final): Based on Objective Type Tests (25%) T T : Total arks 2. Applicable for Ph. D. Course Evaluation is based on End semester examination comprising of subjective type questions.

4 P a g e 2 Course Title: Statistics for Sciences Course Code: TBA1 Total Hours: 32 L T P Credits arks Objectives: To provide the understanding and use of Statistical techniques for students of other departments. Unit I Descriptive Statistics: eaning, need and importance of statistics. Attributes and variables. easurement and measurement scales. Collection and tabulation of data. Diagrammatic representation of frequency distribution: histogram, frequency polygon, frequency curve, ogives, stem and leaf plot, pie chart. Unit II easures: easures of central tendency, dispersion (including box and whisker plot), skewness and kurtosis. Linear regression and correlation (Karl Pearson s and Spearman s) and residual plots. Unit III Random variables and Distributions: Discrete and continuous random variables. Discrete Probability distributions like Binomial, Poisson and continuous distributions like Normal, F and student-t distribution. Unit IV Differences between parametric and non-parametric statistics. Confidence interval, Errors, Levels of significance, Hypothesis testing. Parametric tests: Test for parameters of Normal population (one sample and two sample problems) z-test, student s t-test, F and chi-square test and Analysis of Variance (ANOVA). Non-Parametric tests: One sample: Sign test, signed rank test, Kolmogrov-Smirnov test, run test. Critical difference (CD), Least Significant Difference (LSD), Kruskal Wallis one-way ANOVA by ranks, Friedman two-way ANOVA by ranks. Recommended Books: 1. P. L. eyer, Introductory Probability and Statistical Applications, Oxford & IBH Pub, 1975.

5 P a g e 3 2. R. V. Hogg, J. ckean and A. Craig, Introduction to athematical Statistics, acmillan Pub. Co. Inc., Suggested Readings: 1. F. E. Croxton and D. J. Cowden, Applied General Statistics, P. G. Hoel, Introduction to athematical Statistics, Course Title: Statistics for Humanities and Social Sciences Course Code: TBA2 L T P Credits arks Total Hours: 32 Objectives: To provide the understanding and use of Statistical techniques for students of other departments. Unit I Descriptive Statistics: eaning, need and importance of statistics. Attributes and variables. easurement and measurement scales. Collection and tabulation of data. Diagrammatic representation of frequency distribution: histogram, frequency polygon, frequency curve, ogives, stem and leaf plot, pie chart. Unit II easures of central tendency, dispersion (including box and whisker plot), skewness and kurtosis. Linear regression and correlation (Karl Pearson s and Spearman s) and residual plots. Unit III Discrete and continuous random variables. Discrete Probability distributions like Binomial, Poisson and continuous distributions like Normal, F and student-t distribution. Unit IV Parametric tests: Test for parameters of Normal population (one sample and two sample problems) z-test, student s t-test, F and chi-square test and Analysis of Variance (ANOVA). Non-Parametric tests: One sample: Sign test, signed rank test, Kolmogrov-Smirnov test, run test. Recommended Books: 1. P. L. eyer, Introductory Probability and Statistical Applications, Oxford & IBH Pub, R. V. Hogg, J. ckean and A. Craig, Introduction to athematical Statistics,

6 P a g e 4 acmillan Pub. Co. Inc., Suggested Readings: 1. F. E. Croxton and D. J. Cowden, Applied General Statistics, P. G. Hoel, Introduction to athematical Statistics, Course Title: Statistics for Ph.D. Courses Course Code: TBA3 L T P Credits arks Objectives: To provide the understanding and use of Statistical techniques for students of other departments. Unit I Descriptive Statistics: eaning, need and importance of statistics. Attributes and variables. easurement and measurement scales. Collection and tabulation of data. Diagrammatic representation of frequency distribution: histogram, stem and leaf plot, pie chart. Unit II easures of central tendency, dispersion (including box and whisker plot), skewness and kurtosis. Linear regression and correlation (Karl Pearson s and Spearman s) and residual plots. Unit III Discrete and continuous random variables. Discrete Probability distributions like Binomial, Poisson and continuous distributions like Normal, F and student-t distribution. Unit IV Parametric tests: Test for parameters of Normal population (one sample and two sample problems) z-test, student s t-test, F and chi-square test and Analysis of Variance (ANOVA). Non-Parametric tests: One sample: Sign test, signed rank test, Kolmogrov-Smirnov test, run test, Kruskal Wallis one-way ANOVA by ranks, Friedman two-way ANOVA by ranks. Recommended Books: 1. P. L. eyer, Introductory Probability and Statistical Applications, Oxford & IBH Pub, 1975.

7 P a g e 5 2. R. V. Hogg, J. ckean and A. Craig, Introduction to athematical Statistics, acmillan Pub. Co. Inc., Suggested Readings: 1. F. E. Croxton and D. J. Cowden, Applied General Statistics, P. G. Hoel, Introduction to athematical Statistics, 1997.