Module-6

 

1. Data Representation:

   1. Raw Data,

   2. Classification and tabulation of data,

   3. Frequency tables,

   4. Contingency tables;

   5. Diagrams –

      1. Bar diagrams,

      2. sub-divided bar diagrams,

      3. Pie diagrams,

      4. Graphs –

      5. Frequency polygon,

      6. frequency curve,

      7. Ogives.

2. Descriptive Statistics:

   1. Percentiles,

   2. Deciles,

   3. Quartiles,

   4. Arithmetic Mean,

   5. Median,

   6. Mode,

   7. Geometric Mean and Harmonic Mean;

   8. Range,

   9. Mean deviation,

   10. Variance,

   11. Standard deviation,

   12. Quartile deviation;

   13. Relative measures of dispersion –

       1. Coefficient of variation;

       2. Moments,

       3. Skewness and

       4. Kurtosis –

       5. Measures of Skewness and Kurtosis.

3. Probability:

   1. Random Experiment,

   2. Sample space,

   3. Events,

   4. Type of Events,

   5. Independence of events;

   6. Definitions of probability,

   7. Addition theorem,

   8. Conditional probability,

   9. Multiplication theorem,

   10. Baye’s theorem.