19th November 2020
 Unit 1 Introduction to Statistics {Book} Statistics: Meaning and Definition Functions, Scope, Limitations VIEW Collection of data VIEW Census and Sample Techniques VIEW Classification of data VIEW Preparation of frequency distribution VIEW Tabulation of data VIEW Presentation of Data VIEW Diagrammatic representation of data: Bar diagram, subdivided bar diagram, percentage bar diagram VIEW Pie diagram VIEW Histogram VIEW Frequency polygon VIEW ogives VIEW

 Unit 2 Measures of Central Tendency {Book} Meaning and Definition VIEW Types of Averages: Arithmetic Mean (Simple and Weighted) VIEW Median VIEW Mode VIEW Graphical representation of median and mode, Ogive curve VIEW Empirical relationship between mean, median and mode. Dispersion VIEW Range VIEW Quartile deviation VIEW Mean deviation about mean VIEW Standard deviation and their Coefficients VIEW Measures of Skewness: Meaning, Uses, Co-efficient of Skewness VIEW Symmetrical and Skewed Distributions VIEW Measures of Skewness: Absolute and Relative skewness measures, Karl Pearson’s Co-efficient of Skewness, Bowley’s Co-efficient of Skewness VIEW

 Unit 3 Co-relation and Regression Analysis {Book} Co-relation: Meaning, Uses, Types, VIEW VIEW VIEW Probable error VIEW Karl Pearson’s Rank Correlation VIEW Sparkman’s Rank Correlation VIEW Regression: Meaning VIEW Regression equation VIEW Correlation coefficient through regression coefficient VIEW

 Unit 4 Index Numbers and Time Series {Book} Index Numbers: Meaning, Uses, Classification, Construction VIEW Methods of constructing Index Numbers VIEW Simple Aggregative Method VIEW Simple Average or Price Relative Method, Weighted index method VIEW Fisher’s ideal Method (TRT & FRT) VIEW Consumer Price Index VIEW Time Series VIEW Components of Time series VIEW Analysis of time series by moving averages VIEW Trend and Least Squares method (Linear) and ordinary least square method (OLS) VIEW

 Unit 5 Probability {Book} Meaning and Importance of Probability VIEW Experiment, Event and types of events VIEW Additional & Multiplication theorem of probability VIEW Classical and empirical probability VIEW Conditional probability VIEW