The objective of this course is to familiarize students with the basic statistical tools used for decision-making.
COURSE OUTCOMES (COs):
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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ATG/BSG/FSG /BSR/FSM/HRG /IBG 212 |
Business Statistics |
CO 48: Examine the methods of collecting data, classify and present in the form of tables. CO 49:Select and apply appropriate measures of central tendency. CO 50:Investigate the data sets to find variation amongst them CO:51Analyse the bivariate data sets to identify the level of association and cause and effect relationship in them CO 52: Construct the index numbers |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, White board teaching
Learning activities for the students: Self learning assignments, Effective questions, Giving tasks, Software workshop
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Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments. |
Definition of Statistics, Importance and Scope of Statistics, Types and Source of Data, Collection of Data, Limitation of Statistics
Classification and Tabulation of Data: Meaning and Characteristics, Frequency Distribution, Simple and Manifold Tabulation
Arithmetic Mean (Simple and Weighted), Median (Including Quartiles, Quintiles, Octiles, Deciles, Percentile) Mode, Geometric and Harmonic Mean-Simple and Weighted
Absolute and Relative Measures: Range, Quartile Deviation, Mean Deviation, Standard Deviation and their Co-efficient.
Skewness: Absolute Measures of Skewness, Relative Measures of Skewness –Karl Pearson’s Coefficient of Skewness, Bowley’s Coefficient of Skewness
Meaning and Significance, Scatter Diagram Correlation Graph, Karl Pearson’s Coefficient between two variables.
Coefficient of Correlation by Spearman’s Rank Difference Method and Concurrent Deviation Method
Regression Analysis-Meaning and Significance, Difference between Correlation and Regression, Regression lines, Regression equations, coefficient of Regression.
Introduction, Uses of Index Numbers, Classification of Index Numbers, Problems in Construction of Index Numbers, Methods of Constructing Index Numbers, Test of Adequacy of Index Number Formulae, Base Shifting, Splicing and Deflating of Index Numbers
Note- The candidate shall be permitted to use battery operated pocket calculator that should not have more than 12 digits, 6 functions and 2 memories and should be noiseless and cordless