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INTRODUCTION TO STATISTICS
MEASURES OF CENTRAL TENDENCY
MEASURES OF DISPERSION
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
Weighted and unweighted; Simple Aggregative Method, Simple Average of Price Relative
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|