Introduction to Statistics - Statistical Data: Primary and Secondary data – Sources ofData – Types of Classification of data - Frequency Distribution: Discrete or Ungrouped Frequency Distribution,Grouped Frequency Distribution, Continuous Frequency Distribution. – Diagrammatic and GraphicRepresentation: Line Diagram, Bar Diagram, Rectangle Diagram, and Pie Diagram -Choice of a suitableDiagram – Graphs: Histograms, Frequency Polygon, Cumulative Frequency Curves or Ogives – Advantagesand Limitations of Diagrams and GraphsTabulation: Types of Tables- Construction of one way and two way tables.
Average: Concept, Types – Mathematical Averages: Arithmetic Mean,Geometric Mean, Harmonic Mean – Position or Locational Averages: Median, Mode ( No grouping tablemethod). Partition Values: Quartiles, Deciles and Percentiles - Comparison of the Various Measures of CentralTendencies.
Range – Quartile Deviation – Mean Deviation - Standard Deviation – Variance –Coefficient of Variance - Comparison of various measures of DispersionSkuwnes: Relative measures of skuwness- Karl- Pearson, Bowley, Kelly, Co-efficient of skuwness.
Scatter Diagram, Karl Pearson’s coefficient of Correlation (One way table only),Rank Correlation, Concurrent Deviation - Regression: Method of Least Squares,
Introduction, Objectives of Time Series, Identification of Trend -Variations in Time Series: Secular Variation, Cyclical Variation, Seasonal Variation, and Irregular Variation ––Methods of Estimating Trend; Index Numbers: Definition; uses; types; Simple Aggregate Method and WeightedAggregate Method – Laspeyre’s, Paasche’s, Fisher’s and CPI.Problems on calculation on trend and seasonal variation only.
Concept and Definition - Relevance to Management Decisions - Sample Space and Events -Relevance of Permutations and Combinations to Probability - Rules of Probability, Random Variables andConcept of Probability Distribution. Theoretical Probability Distributions: Binomial, Poisson and Normal andproblems on it. Baye’s Theorem (No derivation).
Concept and Definitions - Census and Sampling - Probability Samplesand Non-Probability Samples. Relationship between Sample size and errors.Simple numericlas only.
Introduction to Hypothesis Testing, Procedure of testing hypothesis,Type I and Type II Errors. Z-Test, t-test, F-test, Chi-Square test; Analysis of Variance – One-Way and Two-wayclassification.Problems on one way annova only.