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INTRODUCTION TO STATISTICS
MEASURES OF CENTRAL TENDENCY
MEASURES OF DISPERSION
CORRELATION ANALYSIS
REGRESSION ANALYSIS
INDEX NUMBERS
ANALYSIS OF TIME SERIES
THEORY OF PROBABILITY
Definition, Functions, Scope and Limitations of Statistics.
Measures of Central Tendency: Types of averages–Arithmetic Mean (Simple and Weighted),
Median and Mode.
Measures of Dispersion: Range, Quartile Deviation, Mean Deviation, Standard Deviation and
Coefficient of Variation.
Simple Correlation and Regression: Meaning, Types, Karl Pearson’s & Rank Correlation
(Excluding grouped data), Probable error.
Index Numbers: Meaning and importance, Methods of construction of
Index Numbers:
Weighted and unweighted; Simple Aggregative Method, Simple Average of Price Relative
Method,
Weighted index method: Laspeyre’s method, Pascals method and Fishers Ideal method including
Time and Factor Reversal tests, Consumer Price Index.
Time Series Analysis: Components, Estimation of Trends (Graphical method, Average Method,
Semi Moving Averages method and Method of Least Squares for linear path).
Probability: Conceptual meaning and definition of probability, Theorems of probability–
addition and multiplication theorem of probability and concept of conditional probability
(simple applications only).
| Also Study: | Also Study: | Also Study: | Also Study: | Also Study: |
| Measures of central tendency | Arithmetic Mean | Median | Mode | Statistics |
| Functions of statistics | Scope of statistics | Limitations of Statistics | Distrust of statistics |
