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SYLLABUS
UNIT - I
STATISTICS: Definitions – Statistical Methods – Importance and Scope – Limitations – Need for Data – Principals of Measurement. Tabulation and Presentation: Classification of Data – Data Array – Frequency Distribution – Methods of Data Classification – Types of Frequency Distributions/Tabulation of Data – Objectives of Tabulation – Parts and Types of Tables – Graphical Presentation – Functions of Graphs – Advantages and Limitations of Graphs.
UNIT - II
MEASURES OF CENTRAL TENDENCY: Introduction to Averages – Requisites for a Measure of Central Tendency, Mean – Combined Mean – Weighted Mean, Median – Partition Values – Quartiles, Deciles and Percentiles, Relationship between Partition Values – Mode – Relationship Between Mean, Median and Mode. Measures of Dispersion: Introduction – Significance and Requisites of a Measure of Dispersion, Range, QD, MD and SD for Grouped and Ungrouped – Advantages and Disadvantages. Concept of Variation – Coefficient of Variation. Skewness and Kurtosis (SK): Introduction, Measures of SK, Relative Measures of SK – Advantages and Disadvantages. Moments – Concepts – Calculation – Kurtosis.
UNIT - III
INDEX NUMBERS: Index Numbers – Introduction – Types – Characteristics – Construction Weighted and Unweighted Index Numbers – Price and Quantity/Volume Index Numbers – Tests – Time Reversal – Factor Reversal and Circular Tests – Chain and Fixed base – Changing of Base – Combining of Two of More Overlapping Indices Consumer Price Index – Problems in Construction.
UNIT - IV
PROBABILITY: Concepts – Random Experiment, Sample Space – Definitions of probability, Simple Problems on Probability, Addition and Multiplication Theorems, Conditional, Joint and Marginal Probability. Sampling: Sampling – Reasons of Sample Survey – Bias in Survey, Definitions of Population, Sample, Parameter, Statistic – Principles of Sampling, Statistical Regularity, Inertia of Large Numbers, Optimization, Persistence of Small Numbers – Validity. Probability and Non-Probability Sampling Methods – Choice of Sampling Method, Sampling Distribution and Standard Error (SE).
UNIT - V
CORRELATION ANALYSIS: Scatter Diagram, Positive and Negative Correlation, Limits for Coefficient of Correlation, Karl Pearson’s Coefficient of Correlation, Spearman’s Rank correlation. Regression Analysis: Concept, Least Square Fit of a Linear Regression, Two Lines of Regression, Properties of Regression Coefficients (Simple Problems Only) Time Series Analysis: Components, Models of Time Series – Additive, Multiplicative and Mixed Models; Trend Analysis – Free Handcurve, Semi Averages, Moving Averages, Least Square Methods (Simple Problems Only).
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CategoriesManagement
Format PDF
TypeeBook