Description
Introduction to Basic Statistics – I
Open Elective (OE)
UG First Year Programme Semester – I
Syllabus (As per NEP 2020) w.e.f. the Academic year 2024-2025
Module 1 : Classification, Tabulation and Presentation of Data 15 Lectures
♦ Definition and Scope of Statistics
♦ Types of Data : Qualitative and Quantitative Data, Geographical data, Time Series Data and Cross Section Data
♦ Measurement of Scales : Nominal, Ordinal, Interval and Ratio
♦ Primary Data and Secondary Data
♦ Classification and Tabulation (One way and Two way)
♦ Frequency Distributions : Uni-variate and Bi-variate
♦ Diagrammatic Representation of Data
Simple Bar Diagram, Multiple Bar Diagram, Subdivided Bar Diagram and Pie-chart
♦ Graphical Representation of Data
Histogram, Frequency Polygon, Frequency Curve, Cumulative Frequency Curve (Less Than and More Than Type)
Module 2 : Measures of Central Tendency and Measures of Dispersion 15 Lectures
Measures of Central Tendancy
♦ Concept and Requirements of Good Measures of Central Tendency
♦ Arithmetic Mean (Simple, Weighted Mean, Combined Mean) for Grouped and Un-grouped Data, Merits, Demerits and its Applicability
♦ Positional Averages : Median, Mode, and Quartiles (for Grouped and Un-grouped Data) Merits, Demerits and its Applicability
♦ Graphical Representation of Mode, Median and Quartiles
♦ Empirical Relation Between Mean, Median and Mode (Only Statement)
Measures of Dispersion
♦ Concept and Requirements of Good Measures of Dispersion
♦ Absolute and Relative Measures of Dispersion:
Range, Quartile Deviation, Mean Absolute Deviation, Variance and Standard Deviation (for Grouped and Un-grouped Data) Merits, Demerits and its Applicability
♦ Raw Moments and Central Moments, Relation Between Them upto Order Four (Only Statement)
♦ Measures of Skewness and Kurtosis : Karl Pearson’s Measure of Skewness
♦ Measures of Skewness and Kurtosis Based on Moments. (Only formulae) and Their Interpretation
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