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    Bus. Statistics BBA 2 Sem Syllabus

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    Bus. Statistics BBA 2 Sem Syllabus

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    Ashu
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    Bus. Statistics BBA 2 sem syllabus

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    5 views4 pages

    Bus. Statistics BBA 2 Sem Syllabus

    Uploaded by

    Ashu

    Copyright:

    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    of 4

    Session 2023-2024

    Part-A Introduction
    Name of Bachelor of Business Administration
    the
    Program
    Semester 2nd
    Name of Business Statistics
    the
    Course
    Course B23-COM-104
    Code
    Course MIC-M1
    Type:
    (DSC/
    DSE/MI
    C /MDC/
    SEC/AE
    C/VAC)
    Lecture Tutorial Practical Total
    Credits 04 01 - 04
    Internal Assessment Marks 25 - - 25
    End Term Exam Marks 75 - - 75
    Exam Duration 3 Hrs. - - 3 Hrs.
    Course The course objectives of business statistics typically aim to equip
    Objective students with the knowledge and skills necessary to effectively
    (CO) analyze and interpret data in the context of business decision-
    making.
    Course After completing this course, the learner will be able to:
    Learning 1. Understand the meaning of the statistics and
    Outcomes data in everyday life and its presentation for
    (CLO) business decision making.
    2. Understand distinctive features and
    characteristics of data with the help of
    descriptive and summary statistical measures.
    3. Understand and analyses the departure from
    statistical normality of data for better business
    decision making.
    4. Understand the significance of sampling in the
    statistical data collection and applications in
    business decision making.
    Part-B Contents of the Course
    Instructions for Paper Setters
    1. The examiner will set 9 questions in all covering the course learning outcomes
    (CLOs). Question No. 1 will be compulsory and comprises of five parts of 3
    mark each. Question Nos. 2 to 9 will carry 15 marks each, having two questions
    from each unit.
    2. Students are required to attempt 5 questions in all, selecting one question from
    each unit and the compulsory question.
    Unit Topics Contact Hours
    I Business
    Statistics: 15
    Introductio
    n, Scope,
    Functions,
    Importance,
    Limitations
    ; Distrust of
    Statistics;
    Collection
    of Primary
    and
    Secondary
    data; Types
    of
    Statistical
    Methods;
    Data
    Analysis
    and
    Interpretati
    on; Graph:
    Characterist
    ics, Types,
    Merits and
    Demerits.
    II Measures
    of Central 15
    Tendency:
    Meaning,
    Types;
    Arithmetic
    Mean;
    Geometric
    Mean;
    Harmonic
    Mean;
    Quadratic
    Mean;
    Moving
    Average;
    Progressive
    Average;
    Relation
    between
    Mean,
    Median and
    mode.
    III Measures
    of
    Dispersion 15
    and
    Skewness:
    Absolute
    and
    Relative
    measures of
    Dispersion
    range,
    Quartile
    deviation,
    Mean and
    Standard
    Deviation;
    Difference
    between
    Skewness
    and
    Dispersion,
    Empirical
    relation
    among
    various
    measures of
    Dispersion,
    Moments
    and
    Kurtosis.
    IV Sampling:
    Introductio
    n, Census 15
    versus
    Sample,
    Errors in
    Sampling,
    Types of
    sampling,
    Judging
    reliability
    of sample;
    Index
    numbers:
    Introductio
    n, Types of
    Index
    Numbers,
    Methods of
    constructin
    g Index
    numbers,
    uses of
    Index
    numbers;
    Time Series
    analysis:
    Component
    s and
    Seasonality
    analysis.
    Part-C Learning Resources
    Recommended Books/E-Resources/LMS:
    ● D. N Elhance, Veena Elhance & BM Aggarwal. Fundamentals of Statistics. Kitab Mahal.

    ● T.N Srivastava and Shailaja Rego. Statistics for Management. McGraw Hill.

    ● S.C Gupta. Fundamental of Statistics. Himalaya Publishing House. Levine &


    Rubin. Statistics for Management. Pearson Publication.
    ● S.P Gupta. Statistical Methods. Sultan Chand & Sons.

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