Syllabus

Course Code: DSCS-118    Course Name: Statistical Method-I

MODULE NO / UNIT COURSE SYLLABUS CONTENTS OF MODULE NOTES
1 Introduction of Statistics: Origin, development, definition, scope, uses and limitations.
Types of Data: Qualitative and quantitative data, nominal and ordinal data, time series data,.
discrete and continuous data, frequency and non-frequency data..
Collection and Scrutiny of Data: Collection of primary and secondary data- its major sources including some government publications, scrutiny of data for internal consistency and detection of errors of recording, classification and tabulation of data.
2 Presentation of Data: Frequency distribution and cumulative frequency distribution, diagrammatic and graphical presentation of data, construction of bar, pie diagrams, histograms, frequency polygon, frequency curve and ogives..
Measures of Central Tendency and Location: Arithmetic mean, median, mode, geometric mean, harmonic mean; partition values-quartiles, deciles, percentiles and their graphical location along with their properties, applications, merits and demerits.
3 Measures of Dispersion: Concept of dispersion, characteristics for an ideal measure of dispersion. Absolute and relative measures based on: range, inter quartile range, quartile deviation, coefficient of quartile deviation, Mean deviation, coefficient of mean deviation, variance, standard deviation (), coefficient of variation and properties of these measures, root mean square deviation and their relationship, variance of the combined series..
Moments: Moments about mean and about any point and derivation of their relationships, effect of change of origin and scale on moments, Sheppard’s correction for moments (without derivation), Charlier’s checks; Pearson’s β and γ coefficients.
4 Skewness and Kurtosis: Coefficients of Skewness and Kurtosis with their interpretations..
Theory of Attributes: Symbolic notations, dichotomy of data, class frequencies, order of class frequencies, consistency of data, independence and association of attributes, Yule’s coefficient of association and coefficient of colligation and their relationship.
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