1. Introduction to Statistics

  • Definition and importance of statistics

  • Nature and scope of statistics

  • Relation to allied subjects

  • Uses and misuses of statistics

2. Types of Data

  • Primary and Secondary data

  • Quantitative and Qualitative data

  • Discrete and Continuous data

  • Time series, Spatial series, and Cross-sectional data

  • Ordinal and Nominal data

3. Collection of Data

  • Characteristics of a questionnaire

  • Definition of Schedule and Pilot Survey

  • Designing questionnaires and schedules

  • Concept of outliers

4. Presentation of Data

  • Textual representation

  • Tabular representation

  • Diagrammatic representation:

    • Line diagrams (multiple axes)

    • Bar diagrams (horizontal, vertical, multiple, divided)

    • Pie diagrams

5. Frequency Distribution

  • Definition and construction of frequency distribution

  • Cumulative frequency distribution

  • Graphical representation:

    • Column diagram

    • Step diagram

    • Ogive

    • Histogram

    • Frequency curve (different types)

6. Measures of Central Tendency

  • Definition and importance of central tendency

  • Different measures:

    • Arithmetic Mean (AM)

    • Geometric Mean (GM)

    • Harmonic Mean (HM)

  • Properties including AM ≥ GM ≥ HM

7. Index Numbers

  • Definition and types (Price Index, Quantity Index, Value Index)

  • Construction methods for Price Index numbers

  • Various Price Index formulae (Laspeyres’, Paasche’s, Fisher’s)