Paper II: Business Statistics - Accountancy and Business Statistics - B Com Part I Syllabus - Maharaja Ganga Singh University, Bikaner(MGSU, Bikaner)

Paper II: Business Statistics
Unit – I
Meaning and definition of statistic. Functions, Importance, Limitations and Distrust of Statistics. Statistical investigation – meaning, types and various stages of statistical investigation. Objectives and methods of sampling, essentials of sampling, sampling and non-sampling error, size of sample. Collection, editing, classification and tabulation of data. Methods of collection of primary and secondary data. Schedule and Questionnaire. Editing of data, meaning and definition of classification, characteristics of classification, objectives and types of classification, statistical series, meaning and definition of tabulation, objectives, importance, & limitations of tabulation, difference between classification and tabulation, essentials of a good table, kinds of table.
Unit – II
Graphical presentation of frequency distribution and histograms, one and two-dimentional diagrams, measures of central tendency, meaning and definition of central tendency, utility and importance, determination of statistical averages, essential properties of an ideal average. Type of statistical averages. Arithmetic mean (simple and weighted), Median (including Quartiles, deciles and percentiles), Mode, Geometric mean, Harmonic mean (simple and weighted), Death rates, choice of suitable average, limitations of averages.
Unit – III
Measures of Dispersion & Skewness: Meaning & definition of dispersion. Objectives & importance of measuring dispersion, absolute and relative measures of dispersion, essential characteristics of a good measure of dispersion, inter-relationship between different measures of dispersion, Lorenz curve, selection of an appropriate measure of dispersion, skewness, meaning, test of skewness, measures of skewness, methods of measuring skewness, difference between dispersion andf skewness.
Unit – IV
Correlation and regression: meaning and definition of correlation, types of correlation, methods of determining correlation, measurement of correlation in time series, lag and lead in correlation, regression analysis: Concept, meaning, utility, types, difference between correlation and regression, linear correlation and regression analysis, standard error of estimates, methods of computing regression lines, conceptual framework and their applications in business.
Unit – V
Index number: concept, utility, methods, simple and weighted average of relatives and aggregative index numbers.

Analysis of time series: theories of time series, decomposition of time series, analysis of trend (excluding seasonal variations), application of time series in business.

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