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

✍ Scribed by Arun Kumar

• Publisher: Krishna Prakashan Media Pvt Ltd - Since 1942 (A Unit of THE KRISHNA GROUP)
• Year: 2021
• Tongue: English
• Leaves: 363
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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