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  • 8/9/2019 QT Session Plan

    1/3

    Quantitative Techniques including MS Excel Semester II- Session &Evaluation Plan

    Core course Credits: 4 Number of Hours: 60

    Total Marks: 100 External Examination: 60 marks Internal Evaluation: 40marks

    essio

    n

    No!

    To"ic to be covered #earnin$ %utcome

    1 &ata 'e"resentation (usin$ Excel)

    Presenting ungrouped data ith a

    !requenc" ta#le

    $raing graphs in Excel

    To classi!" data using appropriate

    !requenc" distri#ution ith the help

    o! Excel

    To dra di%erent t"pes o! graphs

    using Excel' Calculation of tatistical Measures (usin$

    Excel)

    (rithmetic mean

    )eometric mean*armonic mean

    Median

    Mode

    Quartiles

    Mean deviation

    Standard deviation

    +ariance

    ,oecient o! variation

    S.eness

    /urtosis

    To appl" Excel !unctions !or

    calculating di%erent statistical

    measures

    0 Correlation *nal+sis

    Simple ,orrelationScatter $iagrams

    /arl Pearsons coecient o!

    correlation

    Spearmans coecient o! ran.

    correlation

    Introduction to Multiple ,orrelation

    $raing scatter diagrams using Excel

    ,alculation o! correlation coecients using

    Excel

    To calculate and interpret thecorrelation #eteen to varia#les

    To appl" Excel tool !or draing

    scatter diagrams

    To appl" Excel !unctions !or

    calculating correlation coecients

    2 'e$ression *nal+sis

    ,onstructing simple regressionequation using least squares method

    Introduction to multiple regression

    Simple and Multiple regression using

    Excel

    To estimate the simple linearregression equation !or a set o! data

    and .no the #asic assumptions

    #ehind regression anal"sis

    To recogni3e regression anal"sis

    applications !or purposes o!

    description and prediction

  • 8/9/2019 QT Session Plan

    2/3

    Quantitative Techniques including MS Excel Semester II- Session &Evaluation Plan

    To appl" Excel !unctions !or

    calculating regression coecients2 Time eries *nal+sis and ,orecastin$

    Met-ods

    Introduction to Time Series,omponents o! Time Series

    4orecasting trend using least squares

    method

    4orecasting using exponential smoothing

    method

    Presenting and interpreting trend using

    Excel

    $eveloping trend equation using Excel

    Exponential smoothing method using Excel

    To appl" statistical methods !or

    anal"3ing past data and in!er !uture

    trends

    To appl" Excel !unctions !or

    developing trend equation

    Index Numbers

    Price index num#ersQuantit" index num#ers

    +olume index num#ers

    To explain the use o! index num#ers

    To calculate various index num#ers

    5 am"lin$

    6andom sampling methods

    7on random sampling methods

    To explain the need o! sampling

    To explain various sampling methods

    8 Testin$ of H+"ot-esis

    Introduction to h"pothesis testing

    T"pes o! errors

    9evel o! signi:cance

    Tests o! signi:cance

    Mean;s