the learners are expected to acquire skills in collection, organisation and presentation of quantitative and qualitative information pertaining to various simple economic aspects systematically. It also intends to provide some basic statistical tools to analyse, and interpret any economic information and draw appropriate inferences. In this process, the learners are also expected to understand the behaviour of various economic data.
Collection of DataOrigin and Growth of Statistics, Quantitative and Qualitative Data, Primary and secondary Data, Methods of Collecting Primary Data, Direct Inquiry, Indirect Inquiry, Method of Questionnaire, Characteristics of an Ideal Questionnaire, Questionnaire by Post, Questionnaire by Enumerators, Secondary Data, Sources of Secondary Data, Precautions while using Secondary Data.
PresClassification, Types of classification, Classification of quantitative data, Discrete frequency distribution, Continuous frequency distribution, Cumulative frequency distribution, Points for preparing continuous frequency distribution, Classification of qualitative data, Simple classification, Manifold classification Tabulation-types and uses, Guiding rules for tabulation, Diagrams: Importance and limitations of diagrams in statistics, Types of diagrams, One dimensional diagram, Bar diagram, Multiple bar diagram, Simple divided bar diagram, Percentage divided bar diagrams, Two dimensional diagrams, Circle diagrams, Pie diagrams, Pictorial diagrams.
entation of Data
Measures of Central Tendency
Characteristics of good measure of central tendency, Arithmetic Mean or Mean, Combined mean and Weighted mean, Geometric mean Meaning, Measures of positional averages: Median, Quartiles, Deciles, Percentiles, Mode, Graphical Method, Comparative study of mean, median and mode.
Measures of Dispersion
Meaning and characteristics of dispersion, Concept of absolute and relative measures of dispersion, Measures of dispersion: Absolute and Relative Measures, Range, Quartile Deviation, Average Deviation, Standard Deviation, Combined Standard Deviation
Skewness of Frequency Distribution
Meaning of Skewness, Types of Skewness, Concept of Absolute and Relative Measures of Skewness, Methods of obtaining Measures of Skewness and Coefficients of Skewness, Karl Pearson’s Method, Bowley’s Method, Comparison of two methods of Coefficient of Skewness
Permutations, Combinations and Binomial Expansion
Permutation : Meaning, Combination : Meaning, Binomial Expansion : Meaning and Characteristics
Sampling Methods
Population and Sample: Meaning, Population inquiry and sample inquiry, Need for Sampling, Characteristics of an Ideal sample, Points to be considered while determining the sample size, Sampling Methods, Simple Random Sampling, Stratified Random Sampling, Systematic Sampling
Function
Definition, Domain, co-domain, Range, Notations of functions, Types of function, One - one function, Many - one function, Constant function, Equal functions, Real function
Geometric Progression
Meaning, Formula for obtaining n th term, Meaning of series, Three consecutive terms