TB Statistical Methods 1.3 | Pages- 368 | Code- 692 | Edition-11th| Concepts + Theorems/Derivations + Solved Numericals + Practice Exercises | Text Book (Statistics 7)

Description

SYLLABUS- STATISTICAL METHODS, Unit-I Concept of Statistical population, Attributes and variables (Discrete and Continuous). Different types of scales - nominal, ordinal, ratio and interval. Primary data - designing a questionnaire and schedule, collection of primary data, checking their consistency. Secondary data. Scrutiny of data for internal consistency and detection of errors of recording. Presentation of data: classification, tabulation, diagrammatic & graphical representation of grouped data. Frequency distributions, cumulative frequency distributions and their graphical representations, histogram, frequency polygon and ogives. Stem and Leaf plot. Box Plot. Unit-II Measure of central tendency and dispersion, merits and demerits of these measures. Moments and factorial moments. Shephard's correction for moments. Skewness and Kurtosis and their Measures. Measures based on quartiles. Bivariate data, Method of least squares for curve fitting. Unit-III Correlation and Regression, Rank Correlation (Spearman's and Kendall's measure), Intra-class correlation, correlation ratio. Partial and Multiple Correlation & Multiple Regression for Trivariate data. Unit-IV Attributes-Notation and terminology, contingency table, class frequencies, and ultimate class frequencies, consistency. Association of attributes, Independence, Measure of association for 2×2 table. Chi-square, Karl Pearson's and Tschuprow's coefficient of association. Contingency tables with ordered categories. Statistical Methods Dedication About the Book Preface Acknowledgement Syllabus Brief Contents Detailed Contents 1 Detailed Contents 2 Detailed Contents 3 Detailed Contents 4 Chapter 1. Definition, Functions, Limitations and Importance of Statistics Chapter 2. Types of Data and Scales Chapter 3. Collection and Scrutiny of Data Chapter 4. Organisation of Data Chapter 5. Diagrammatic Representation of Data Chapter 6. Graphic Representation of Data Chapter 7. Measures of Central Tendency Chapter 8. Measures of Dispersion Skewness and Kurtosis Chapter 9. Method of Least Squares and Curve Fitting Chapter 10. Correlation and Regression Chapter 11. Multiple and Partial Correlation Chapter 12. Theory of Attributes Logarithms 1 Logarithms 2 Antilogarithms 3 Antilogarithms 4