Introductory Statistics and Applications I

CU Semester 1 — Descriptive statistics, frequency distributions, central tendency, dispersion, correlation, and regression.

Course Syllabus

Subject matter of Statistics; basic steps in statistical methods
Collection of data: primary and secondary sources
Variables and attributes: discrete, continuous, and categorical; complete enumeration vs. sample
Presentation of data: textual, tabular, diagrammatic
Frequency distribution: ogives, column diagrams, frequency polygons, histograms, frequency curves
Central tendency: arithmetic mean, geometric mean, harmonic mean (ungrouped and grouped data)
Index numbers: price index numbers; aggregative and weighted methods of construction
Dispersion: range, quartile deviation, mean deviation, standard deviation (ungrouped and grouped)
Relative measures: coefficient of variation, coefficient of mean deviation, coefficient of quartile deviation
Distribution of income and wealth: Lorenz curve, Gini Coefficient, Theil's Index
Moments: central and non-central; computation and conversion
Measures of skewness: Bowley's measure, moment-based measures
Measure of kurtosis: moment-based measure
Bivariate data: scatter diagram, simple correlation coefficient — computation, limitations, properties
Simple linear regression: least squares technique and properties

Gupta, S. C., & Kapoor, V. K. Fundamentals of Mathematical Statistics. Sultan Chand & Sons.
Hogg, R., Tanis, E., & Zimmerman, D. Probability and Statistical Inference. Pearson.

Samkith Sir

SXC, ISI MSQe Topper

Insiya Ma'am

ISI, MSQe

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