BBA (Data Analytics) I Semester (R22)
Students will be able to
Origin and development of statistics – definition of Statistics, its importance and scope and objectives of statistics, application areas of Statistics: Business, Economics, Research, Government and other areas. Limitations of Statistics.
Types of data collection – primary and secondary data , classification of secondary data, internal source data, external source data, precautions in the use of secondary data, methods of collecting primary data, drafting the questionnaire, pretesting the questionnaire (Pilot survey).
Introduction to descriptive statistical analysis, types of data, frequency distribution, measures of central tendency- Mean, Mode, Median, calculation of arithmetic mean, mode and median for Individual observation, discrete series, continues series. Types of mean- merits and demerits.
Introduction –significance of measuring variance, pproperties of a good measure of variance , methods of studying variance, Quartile deviation - calculation of mean deviation, standard deviation- mean deviation for continues series.
Sources of Information, tabulation, cross tabulation, diagrammatic and graphical representation of data. one dimensional, two dimensional and three-dimensional diagrams and graphs.
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